专利摘要:

公开号:SE1251175A1
申请号:SE1251175
申请日:2012-10-17
公开日:2014-04-18
发明作者:Mikael Curbo;Johan Wängdahl;Erik Dahlberg
申请人:Scania Cv Ab;
IPC主号:
专利说明:

Input shaft 109, gearbox 103, output shaft 107 and shaft gear 108.
The vehicle 100 further comprises various different braking systems such as a conventional service braking system, which e.g. may comprise brake discs with associated brake pads (not shown) arranged next to each wheel. The engine 101 can be controlled based on instructions from a cruise control, or by a driver of the vehicle.
Today's motor vehicles, which include vehicles powered by internal combustion engines, electric hybrid vehicles and electric vehicles, have a wide variety of characteristics which can be selected to suit a driver and / or owner of the vehicles. For example, the buyer of a vehicle should choose what type of fuel (such as diesel, gasoline, gas, ethanol, or electricity) the vehicle should be powered by, what engine power the vehicle should have, what type of gearbox 103 the vehicle should have, what type of clutch 106 the vehicle shall have, what gear the rear axle 108 shall have, what type of braking system the vehicle shall be equipped with, what type of turbocharger the vehicle shall have, what type of wheels 111, 112, 113, 114 the vehicle shall have, what type of gearbox the vehicle shall have, ie how the power is to be distributed between the front and rear axles / rear axles, and what type of after-treatment system for exhaust gas cleaning 200 the vehicle shall have. The characteristics exemplified above are only a part of all the characteristics a vehicle can have, as will be appreciated by one skilled in the art.
Brief description of the invention Since so many different properties exist and must be chosen, for example when ordering and / or buying a new vehicle, the choice of a new vehicle becomes very difficult for the buyer.
Thereby, there is a risk that the choice of vehicle results in a vehicle with characteristics which are not optimal for the utilizing vehicle will have with the new owner. 10 l5 20 25 30 Suboptimized choices when ordering and / or buying vehicles can have a negative impact on, for example, the vehicle's total cost, the vehicle's fuel consumption and the vehicle's comfort for the driver.
For example, for a haulage company, in addition to the vehicle's acquisition cost, the main expenditure items for the ongoing operation of a vehicle constitute a salary for the vehicle's driver, costs for repairs and maintenance and fuel for propulsion of the vehicle. The fuel cost here can affect the profitability of the haulage company to a very large extent, which is why it should be kept as low as possible. If, for example, the engine, gearbox and wheel type are chosen so that they are well adapted to the vehicle's future use, fuel costs can be minimized. A vehicle that is well adapted to its use will also generate less repair costs.
By using previously known solutions, the specification for the new vehicle has often not been optimized for the vehicle's future use, which has led to an unnecessarily high total cost for the vehicle.
It is therefore an object of the present invention to provide a systematically developed vehicle specification, which enables a more optimized choice of vehicle to be made when ordering and / or purchasing the vehicle, whereby the total cost of the vehicle and also the driver comfort can be considerably improved.
This object is achieved by the above-mentioned system according to the characterizing part of claim 1. The object is also achieved by the above-mentioned computer program and computer program product.
By utilizing the present invention, a large number of parameters can be taken into account which are related to different vehicle characteristics when the vehicle specification is produced, which provides a very reliable development of the vehicle specification.
Then performing one or more simulations of how an adjustment of one or more of these parameters affects the very property of the vehicle means that, for example, a salesperson can explain to the customer in a simple and clear way how the choice of the various parameters will affect the driving experience. and / or the total cost of the vehicle.
According to the present invention, moreover, the one or more simulations are based on operating data which have been stored in one or more vehicles when these have been in operation. For example, therefore, if the present invention is utilized, a haulier or vehicle owner who has previously used one or more vehicles on a particular route, or on a route similar to that particular route, may utilize operating data from those vehicles about the vehicle to be ordered and / or or purchased will be used on the same route.
Correspondingly, a customer and / or buyer can also use operating data from vehicles owned by other persons and / or companies, which use vehicles for this particular route, or a similar route. Utilization of operating data from vehicles owned by others may require a permit of some kind from the other vehicle owner.
Since operating data for a particular route includes a variety of types of information, such as, for example, speed limits on the route, topography of the route, road conditions for the route and driving resistance of the route, which may be utilized by the present invention in the one or more simulations, invention easily a very detailed and optimized vehicle specification is developed by the system for systematic selection of vehicle specification. With the present invention, considerably more parameters and also considerably more relevant values for these parameters will be used in the development of the vehicle specification than with previously known solutions. This means that the reliability in the preparation of the vehicle specification becomes very good by utilizing the present invention.
The present invention can also be used by salespeople to build trust with customers, since the salesperson will then be perceived by customers as interested and well-informed if the salesperson can show customers that he knows how customers use their vehicles.
It can often be sensitive for a salesperson to ask the customer how he uses his vehicles and it is also common for the customer not to know in detail how his vehicle is used. Thus, by utilizing the present invention, the seller can be helped to increase his customer awareness considerably. It is often crucial for the salesperson to build a network of contacts with customers who trust him. To be able to do that, it is important to know how they drive and how they want to use their vehicles to sell the right cars to them.
The present invention can also be used to streamline the sales process. In the past, salespeople have often had difficulty finding time. By means of the invention, by using, for example, a chassis number and / or a registration number, they can directly make simulations and / or optimizations which result in a vehicle specification. The administration previously necessary and time-consuming for the seller during the sales process, which among other things involved interaction with the buyer, can therefore be minimized by the invention. The invention will be further elucidated below with reference to the accompanying drawings, in which like reference numerals are used for like parts, and in which: Figure 1 shows schematically parts of an exemplary vehicle, Figure 2a shows an example of a load matrix, Figure 2b shows an example of an energy consumption matrix, Figure 3 shows a driving resistance of an example vehicle on an uphill slope, Figure 4 shows a control unit according to the invention.
Description of Preferred Embodiments The present invention provides a system arranged to perform a systematic selection of a specification for a first vehicle. The term "arranged to" includes in this document the terms "adapted to" and "arranged to". This vehicle specification includes a number of parameters related to at least one property of the first vehicle. Typically, the present invention can thus be used when an order and / or purchase of a vehicle is to be made, since a vehicle specification is necessary for the newly built vehicle to be ordered or the used vehicle to be purchased to have the characteristics requested by the buyer. However, the present invention can also be used in other situations where simulations of vehicle characteristics based on a number of parameters obtained from operating data are performed.
The system according to the invention comprises a retrieval unit, a simulation unit and a selection unit. The retrieval unit is arranged to retrieve operating data from at least one second vehicle. These operating data include information on how the at least one second vehicle has been utilized before the acquisition.
Such operating data are often stored in today's vehicles while they are being driven. Operating data can be provided to the retrieval unit either directly from the at least one second vehicle, or can be cached in some kind of database. Database can here comprise substantially all suitable units in which data can be stored, such as a server, a computer, a database, a register or similar storage units. Thus, the system according to the invention can retrieve operating data suitable for use in producing vehicle specifications.
According to an embodiment of the invention, operating data from more than one second vehicle is used, whereby a statistical reliability of operating data increases. Here, for example, operating data from several vehicles on a certain route can be collected and used by the system. This reduces the risk that a driver's personal driving style means that the operating data from this driver's vehicle does not represent an average driver.
Thus, this embodiment obtains a vehicle specification which should be generally applicable to several drivers.
The system according to the present invention also comprises a simulation unit, which is arranged to simulate how an adjustment of at least one of the parameters affects the at least one property of the first vehicle. According to the present invention, this simulation unit is arranged to perform the simulation based on operating data.
The system according to the present invention also comprises a selection unit, which is arranged to select at least one vehicle specification. This selection is made according to the invention based on the simulation. This results in a systematic selection of vehicle specification based on operating data from the at least one second vehicle, which results in a very reliable vehicle specification, which has been built up based on a number of parameters that affect the vehicle characteristics.
According to an embodiment of the invention, the system is arranged to select the at least one second vehicle so that the at least one second vehicle has been utilized in a substantially similar manner as the first vehicle is planned to be utilized. In other words, here the system chooses to base the production of the vehicle specification on other vehicles which in all probability provide a vehicle specification that will be well adapted to the future use of the first vehicle.
For example, at least one second vehicle can be selected so that it has maps on one or more routes on which the first vehicle is planned to run. The at least one second vehicle can also be selected so that it has run on one or more routes which in one or more respects are similar to the one or more routes the first vehicle is planned to run on.
In this way, a vehicle specification can be obtained which is tailored for, i.e. directly adapted to, a future use of the first vehicle, which gives a low total cost for the vehicle and at the same time a good driver comfort.
According to an embodiment of the present invention, operating data from the other vehicle can be corrected before simulations are made based on these operating data. For example, torque values in a load matrix can be corrected to higher values if the first vehicle will have a heavier load than the second vehicle had when operating data was saved. Correspondingly, for example, torque values in the load matrix can be corrected to lower values if the first vehicle will have a lighter load than the first vehicle had. Load / vehicle load in this document refers to the mass or weight of what is transported by the vehicle. In other words, the load / vehicle load is, for example, related to what is in the vehicle's luggage compartment or on the vehicle's platform.
According to an embodiment of the present invention, the retrieval unit comprises a receiving unit, an identification unit and a retrieval unit. The receiving unit is arranged to receive an entry of identification information for the at least one second vehicle. This identification information may typically be a chassis number, a registration number, or any other information suitable for vehicle identification. The identification unit is arranged to identify the at least one second vehicle based on the identification information, after which the retrieval unit is arranged to retrieve operating data for the identified vehicle.
For example, one or more registration numbers for one or more vehicles that a customer and / or a buyer and / or a seller knows or thinks they know have suitable operating data are entered into the system's receiving unit. Typically, the customer and / or buyer can enter here a registration number for one of their previous vehicles that the customer and / or buyer knows has been used in a similar way as the new vehicle is to be used, after which operating data for this identified vehicle is retrieved to the system and can be used to determine the vehicle specification.
Once operating data has been retrieved from one or more suitable vehicles, various simulations can be made based on this operating data, for which one or more parameter values are changed.
These different simulations can then be compared with each other and / or used to see what effect adjustments of parameter values will have on the characteristics of the vehicle, whereby a suitable vehicle specification can be systematically selected.
More specifically, for this embodiment, the simulation unit is set up by calculating through a first simulation a first simulation value based on operating data and on at least a first parameter value for at least one of the plurality of parameters. This at least a first parameter value is here related to a first vehicle specification.
The simulation unit is also arranged to calculate in a second simulation a second simulation value based on operating data and on at least a second parameter value for at least one of the plurality of parameters, where the second parameter value is related to a second vehicle specification.
A comparison unit then compares the first and second simulation values, after which an indication of whether the first vehicle specification or the second vehicle specification is suitable is provided. The appropriate vehicle specification can thus be provided here based on the comparison of the first and second simulation values.
According to an embodiment of the invention, a plurality of vehicle specifications may be indicated as suitable. Here, a plurality of second simulation values are included in the at least one second simulation value, each of this plurality of second simulation values being calculated based on the respective at least one second parameter value. The comparison unit then compares the first simulation value with this plurality of other simulation values. Thereafter, a predetermined number of vehicle specifications are identified as possible suitable vehicle specifications based on the comparison. Then an indication of this predetermined number of possible suitable vehicle specifications is provided.
According to an embodiment of the invention, the first and the at least one second simulation value are related to fuel consumption. Thus, the comparison unit determines a difference in fuel consumption that results from the adjustment of the parameter, i.e. the difference in fuel consumption between the first and second simulation. Since the first and second simulations are related to a first and a second vehicle specification, respectively, the comparison will also indicate a difference in fuel consumption for each vehicle specification for the operating data used in the simulations. The difference in fuel consumption can be indicated in a number of different ways, for example in percent, as liters per 100 km, as energy, or as carbon dioxide emissions. As fuel consumption is important both for the vehicle's total cost and for the environment, the difference in fuel consumption for the different vehicle specifications can be an important factor when choosing a vehicle.
According to an embodiment of the invention, the first and the at least a second simulation value are related to a drivability of the vehicle, such as for example average speed, driving time, or time of maximum torque. Here, the comparison unit thus determines a difference in driveability between the first and second vehicle specification since these are related to the first and second simulation, respectively. Driving is often an important factor for a customer and / or buyer of a vehicle, and is often balanced against the fuel consumption of the vehicle.
According to an embodiment of the invention, the first and the at least a second simulation value are related to a component life, where the component may for example be one or more of the gearbox 103, the rear axle 104, 105, 108, the engine 101, the clutch 106, a generator and / or a battery, a retarder, and one or more brakes in a braking system. Here, engine torque and speed as well as time spent per speed can be used to determine a probable service life for these components. Here, therefore, the comparison unit determines a difference in component life between the first and second vehicle specification since these are related to the first and second simulation, respectively.
According to an embodiment of the invention, the first and the at least a second simulation value are related to a spring stiffness of the vehicle and / or an anti-roll bar in the vehicle. Spring stiffness and / or anti-roll bars are often important factors, which indicate the vehicle's behavior in various cross situations. The determination of simulation values for the spring stiffness and / or the anti-roll bar utilizes information from an accelerometer which is suitably mounted in the vehicle. The service life, ie the fatigue, of the spring stiffness and / or the anti-roll bar can also be determined here if the vehicle is equipped with an accelerometer.
According to an embodiment of the invention, the first and the at least a second simulation value are related to an energy store. In this document, the term energy storage includes essentially all devices that can store any kind of energy, such as a battery or a capacitor, which can be charged and stored electrical energy, a flywheel, which includes a mass that can be put into rotation, whereby rotational energy is stored as the the rotating mass, or a rubber band, which is twisted to be able to release the energy when the rubber band returns to its original state. Energy can here, for example, be stored during braking to be used later in subsequent accelerations, which is typically used, for example, in electric hybrids.
Thus, according to the embodiment, the comparison unit determines a difference in energy storage between the first and second vehicle specification because these are related to the first and second simulation, respectively, or the comparison unit at least determines if there is a potential for gain in energy storage. A potential for profit in energy storage depends on how the other vehicle has been driven. In general, a lot of energy can be stored and recovered if many decelerations are made. However, it can still be more energy efficient to drive the vehicle with fewer brakes. At least the number and length of the brakes and their suitability should therefore be taken into account when determining the potential gain in energy stocks.
As mentioned above, the operating data used in the systematic selection of vehicle specification according to the present invention can be provided to the retrieval unit in the system directly from at least one second vehicle, or provided to the retrieval unit from a database arranged to store operating data from said at least one second vehicle.
Each of the parameters used in the simulations of the present invention may, for example, be related to one or more vehicle characteristics: a gearbox for a rear axle, a gearbox, an engine, a clutch, a brake system, a turbocharger, a wheel type, a distribution gearbox, a battery and an exhaust purification system. Thus, for example, a simulation where a parameter related to the rear axle gear ratio can be adjusted to see how this affects the rear axle gear ratio. Similarly, adjustments of parameters related to the gearbox, engine, clutch, brake system, turbocharger, wheel type, transmission, battery or exhaust purification system can be used to simulate the characteristics of the gearbox, engine, clutch, brake system, turbocharger, , the transmission, battery and exhaust purification system are affected by the adjustment. Hereby a vehicle specification comprising a plurality of such parameters can be produced by utilizing the present invention, where these parameters have been adjusted so that the vehicle characteristics become those desired by the customer and / or the buyer.
It has been described above how operational data can be utilized in a systematic development of vehicle specifications by utilizing the present invention. Operating data may include information related to a variety of parts of the other vehicle.
Operating data may include a usage time for at least one gear in the gearbox 103 in the at least one second vehicle, respectively. Thus, operating data here indicates which gears have been used and how long the different gears have been used in the at least one second vehicle. Operating data for the service life of gears can according to one embodiment be stored in connection with the gearbox 103 in the at least one second vehicle.
According to one embodiment, operating data for service life for gears can also be calculated, for example, based on a load matrix, which includes values corresponding to time periods when the at least one second vehicle has used different / certain speeds, such as engine speed, and different / certain torques, such as engine torque. Thus, according to one embodiment, the operating data system of the present invention is provided in the form of at least one load matrix, wherein the at least one load matrix comprises values corresponding to corresponding time periods that the at least one other vehicle has used different / certain speeds and different / certain torques. Typically, engine speed and engine torque are used in the load matrix, but a person skilled in the art realizes that speed and torque for other suitable parts of the driveline can also be used, for example for the input shaft 109 of the gearbox 103.
According to one embodiment, in the systematic production of vehicle specifications, the at least one load matrix is used in combination with a speed profile for the at least one second vehicle, the operating data comprising this speed profile. In this way, conclusions can be drawn about, for example, gear selection. If, for example, the other vehicle has been shortened a predominant part of the time, for example about 80% of the time, at a high speed, for example about 89 km / h, the conclusion that the vehicle during this time has used a maximum gear can be drawn if the time during which the engine speed of the other vehicle has been around the cruising speed corresponds to about 80% of the time. Utilized engine speeds and cruising speeds can be read from the load matrix.
Figure 2a shows a non-limiting example of such a load matrix. Along the X-axis the speed is stated, such as an engine speed, and along the Y-axis, torques are stated, such as engine torque, which have been delivered at each engine speed in relation to a maximum engine torque, ie as a percentage of the maximum engine torque. The maximum motor torque can be different at different speeds. At different / certain engine speeds (X-axis) and different / certain torques (Y-axis) the vehicle has thus worked in hours, where the values t for the fields in the load matrix can be normalized with respect to all fields in the load matrix, which gives a normalization of the load matrix . The value t for the fields is calculated by the vehicle saving values within a motor torque range, for example 10 15 20 25 16 85-98% of the maximum motor torque, and within a speed range, for example 1240-132 rpm.
The load matrix is used according to the embodiment to determine speeds at which the vehicle has traveled, after which the gear utilization can be determined based on these speeds.
Speed can be calculated based on an engine speed rev taken from the load matrix according to: revswrjuju * 3,6 _ i, (eq. 1) 30 * Uvaxelbox Ubakaxel - r fl vs is the engine speed from the load matrix; - num is the wheel radius; - lßamm fl ar a gearshift for the rear axle; and - Ummd fi da is an exchange for the gearbox.
The speed v can thus be determined here based on operating data.
Used gears and the service life of these gears can then be determined based on this speed operating data and knowledge of the vehicle's gearbox and / or gear system.
According to one embodiment, operating data can also be provided to the system in the form of at least one energy consumption / consumption matrix, where the at least one energy consumption matrix comprises values corresponding to energy consumption for the at least one second vehicle at different / certain speeds and different / certain torques.
Figure 2b shows a non-limiting example of such an energy consumption matrix. Along the X-axis, the speed is specified, for example an engine speed, and along the Y-axis torque is specified, for example a motor torque, which has been delivered at each speed in relation to a maximum torque, ie as a percentage of the maximum torque. The maximum torque can be different at different speeds. At different / certain speeds (X-axis) and different / certain torques (Y-axis) the vehicle has thus had an energy consumption, where the values for the fields in the energy consumption matrix can be standardized with respect to all fields in the energy consumption matrix, whereby a standardization of the energy consumption matrix is obtained. The value for the fields is calculated by the vehicle saving values within a torque range, for example 85-98% of the maximum torque and within a speed range, for example 1240-1320 rpm.
Operating data may also include a usage time for at least one speed, respectively, which is supplied to a gearbox in the at least one second vehicle. Here, operating data indicates a description of which speeds have been used by the other vehicle and how long these different / certain speeds have been used in the at least one second vehicle.
Operating data may also include a usage time for at least one engine torque respectively which has been applied to gearbox 103 in the at least one second vehicle, i.e. a description of which engine torques have been utilized and how long these engine torques have been utilized.
Operating data may also include at least one fuel consumption for the engine 101 in the at least one second vehicle.
Operating data may also include at least one driving force on at least one wheel of the at least one second vehicle, i.e. the driving force used on one or more wheels in the at least one second vehicle. A conversion between motor torque and driving force can be performed according to: 10 15 20 25 18 Fdriv I UbakaxelaTmotor-Tlretarder) _uuàxellåd (Tluäxellåd-Tlbakaxel »I (eq. the gearbox; - T% Ûw, is the motor torque; - fl frame fl w is the loss moment for a retarder; - Tï fi xd fi da is the loss moment for the gearbox; - Thmmmd is the loss moment for the rear axle;
The driving force can thus be determined here based on operating data.
The motor torque T¿ÛwT can here be obtained from the load matrix.
The retarder can be arranged before or after the gearbox on the driveline.
According to one embodiment, losses in the driveline for two different vehicles, or for two different vehicle specifications, can be simulated based on its speeds and driving forces. These losses can then be compared with each other.
According to one embodiment, the system according to the present invention thus comprises a conversion unit, which is arranged to convert operating data into corresponding forces. For this embodiment, the simulation unit is arranged to utilize these corresponding forces in its simulations.
Operating data may also include a service life of at least one engine torque per gear used in the at least one second vehicle, i.e. a description of which engine torques have been used for the various gears and how long these engine torques were used.
This embodiment provides a good resolution for the motor torque because it is divided per gear.
Operating data may also include at least one loss for a driveline in the at least one second vehicle.
Operating data may also include at least one wave slope d and at least one vehicle section for wave sections where at least one second vehicle has been utilized, typically for wave sections along routes where the first vehicle is intended to be used. Based on wave inclination d and speed, the driving resistance can be calculated, ie the forces that slow down the vehicle's progress.
Figure 3 schematically shows a vehicle which travels on a wagon section with a wave slope d and forces acting on the vehicle. The travel resistance Fmot for this non-limiting example can be calculated, for example, according to: Emr = Üm% + P fi u + F§wr ækV-3) where Eu fi is the air resistance; Em ”is the rolling resistance; and Fïw is the ascent resistance.
The air resistance, Hu fi can be calculated according to: FluftzåcdpAÜz, (GkV. Dar l0 l5 20 20 - Cä is an air resistance coefficient; - p is an air density, which depends on the outside temperature and height; - A is a cross-sectional area of the vehicle; and - v is the vehicle speed.
The rolling resistanceF¿m can be calculated with a formula that uses a static coefficient and a speed-dependent coefficient, which is multiplied by a normal force on the wheels.
Fm ”= mg cos (a) (CT1 + CTZ v) (eq. 5) where - 1n is the total weight of the vehicle; - g is the gravitational constant; - a is the angle of inclination of the road; - Qq is the static rolling resistance coefficient; - C fl is the speed-dependent rolling resistance coefficient; and - v is the vehicle speed. The ascent resistance F§w arises when the vehicle is driving up a slope. The slope resistor P§w is the force component from the gravitational force which is parallel to the road surface.
The pitch resistanceF§w can be calculated according to: P; = 1ngsü1a, (eq. 6) tig where 10 15 20 25 21 - ntär total vehicle weight; - g is the gravitational constant; and - a is the angle of inclination of the road.
Operating data may also include at least one height above sea level for locations where at least one other vehicle has been used. In this way, a property of the turbocharger can be determined. For example, there are turbochargers which are specially adapted for use at high altitudes, which can be selected in the vehicle specification. Engine properties can also be determined based on at least one height above sea level as different engines are differently suitable for different heights above sea level.
According to an embodiment of the invention, the operating data comprises a vehicle load for the other vehicle. The vehicle load together with the speed of the other vehicle can be used to base the simulation on. The vehicle load can here preferably be stored as vehicle load per speed in order to be easily used in the simulation.
In addition to operating data, the systematic choice of vehicle specification according to one embodiment can also be based on support information / support data. In this way, correct loss models for, for example, the gearbox and the rear axle can be obtained, which provides more accurate simulations and also a correct loss model for the first vehicle. As a result, the loss model for the first vehicle does not need to be corrected.
Such support data according to an embodiment constitute time for acceleration and / or time for deceleration, which together with other operating data enables the system according to the present invention to make more accurate and / or more comprehensive simulations. For example, a time when an acceleration / deceleration was within a first interval and / or a time when an acceleration / deceleration was within a second interval can be stored and used as support data. In this way, higher accuracy can be obtained and / or more key figures can be obtained in the simulation. If deceleration is used, calculations of energy storage can also be made. For example, how much energy is slowed down can then be calculated. Then this decelerated energy can be compared with a capacity of the vehicle's energy storage to store this energy. For example, the energy can be compared with the capacity of the vehicle's batteries to store this energy with the help of one or more generators.
Different generators can provide different effects for storing the energy resulting from accelerations / decelerations within the first and / or second range.
According to an embodiment, such support data consist of retarder data, including torque, speed and temperature, whereby energy storage calculations and / or calculations of brake wear can be performed.
According to an embodiment, such support data consist of data related to an external temperature, which can be used to determine with the aid of a loss model the density of the air and a catalyst temperature, which in turn controls the choice of engine mussel and thus the fuel consumption.
The catalyst temperature is affected here by the outside temperature.
Injection strategies for the engine and thus the engine mussel are controlled based on the catalyst temperature, since the catalyst temperature affects how much nitrogen oxides NOX are emitted. The outside temperature can also be used to determine the performance of a turbo. According to an embodiment, such support data consist of data related to gearbox temperature and / or oil temperature, which can be used to determine wear of the gearbox. If there is a lot of wear, more cooling may be necessary. If a little wear, less cooling may be sufficient.
According to an embodiment, such support data consists of data related to a consumed amount of fuel, which can be used to correct an absolute level for the calculations. For example, if it is known that a new vehicle consumes a certain number of percent less fuel than an old vehicle, the absolute level of consumption value of the old vehicle can be adjusted by this number of percent.
Such support data according to an embodiment consist of at least one height above sea level, which can be used as a complement to operating data for selecting turbochargers, since there are turbochargers which are specially adapted for use at defined heights above sea level.
Those skilled in the art will appreciate that the system for systematic selection of vehicle specification of the present invention may additionally be implemented in a computer program, which when executed in a computer causes the computer to perform the method.
The computer program usually forms part of a computer program product 403, the computer program product comprising a suitable digital storage medium on which the computer program is stored. The computer readable medium consists of a suitable memory, such as, for example: ROM (Read-Only Memory), PROM (Programmable Read-Only Memory ), EPROM (Erasable PROM), Flash memory, EEPROM (Electrically Erasable PROM), a hard disk drive, etc.
Figure 4 schematically shows a control unit 400. The control unit 400 comprises a calculation unit 401, which may be constituted by substantially any suitable type of processor or microcomputer, e.g. a Digital Signal Processor (DSP), or an Application Specific Integrated Circuit (ASIC).
The calculation unit 401 is connected to a memory unit 402 arranged in the control unit 400, which provides the calculation unit 401 e.g. the stored program code and / or the stored data calculation unit 401 is needed to be able to perform calculations. The calculation unit 401 is also arranged to store partial or final results of calculations in the memory unit 402.
Furthermore, the control unit 400 is provided with devices 411, 412, 413, 414 for receiving and transmitting input and output signals, respectively. These input and output signals may contain waveforms, pulses, or other attributes, which of the input signals receiving devices 411, 413 may be detected as information and may be converted into signals which may be processed by the computing unit 401. These signals are then provided to the computing unit 401. The devices 412 , 414 for transmitting output signals are arranged to convert signals obtained from the calculation unit 401 for creating output signals by e.g. modulate the signals, which can be transmitted to other parts of and / or systems in the vehicle.
Each of the connections to the devices for receiving and transmitting input and output signals, respectively, may consist of one or more of a cable; a data bus, such as a CAN bus (Controller Area Network bus), a MOST bus (Media Orientated Systems Transport bus), or any other bus configuration; or by a wireless connection. One skilled in the art will appreciate that the above-mentioned computer may be the computing unit 401 and that the above-mentioned memory may be the memory unit 402. In general, control systems in modern vehicles consist of a communication bus system consisting of one or more communication buses for interconnecting a number of electronic controllers (ECUs), or controllers, and various components located on the vehicle. Such a control system can comprise a large number of control units, and the responsibility for a specific function can be divided into more than one control unit. Vehicles of the type shown thus often comprise considerably more control units than what is shown in Figure 4, which is a choice for those skilled in the art.
The present invention is in the embodiment shown implemented in the control unit 400. However, the invention can also be implemented in whole or in part in one or more other control units already existing with the vehicle or a control unit dedicated to the present invention.
Those skilled in the art will also appreciate that the above system may be modified according to the various embodiments of the method of the invention.
In addition, the invention relates to a motor vehicle 1, for example a truck or a bus, comprising at least one system for systematic selection of vehicle specification according to the invention.
The present invention is not limited to the above-described embodiments of the invention but relates to and encompasses all embodiments within the scope of the appended independent claims.
权利要求:
Claims (17)
[1]
A system arranged to perform a systematic selection of a specification for a first vehicle, said specification comprising a plurality of parameters related to at least one property of said first vehicle, characterized by: - a retrieval unit arranged for retrieving operating data from at least one second vehicle, wherein said operating data includes information on how said at least one second vehicle has been utilized; a simulation unit arranged for simulating how an adjustment of at least one of said plurality of parameters affects said at least one property of said first vehicle, said simulation being based on said operating data; and - a selection unit arranged to select at least one specification based on said simulation.
[2]
A system according to claim 1, wherein said system is arranged to select said at least one second vehicle so that said at least one second vehicle has been utilized in a substantially similar manner as said first vehicle is planned to be utilized.
[3]
A system according to any one of claims 1-2, wherein said at least one second vehicle comprises two or more second vehicles.
[4]
A system according to any one of claims 1-3, wherein said operating data is provided to said system in the form of at least one load matrix, said at least one load matrix comprising values corresponding to time periods said at least one second vehicle has used certain speeds and certain torques, respectively. 10 15 20 25 30 27
[5]
A system according to any one of claims 1-3, wherein said operating data is provided to said system in the form of at least one energy consumption matrix, said at least one energy consumption matrix comprising values corresponding to energy consumption for said at least one second vehicle at certain speeds and certain torques, respectively.
[6]
A system according to any one of claims 1-5, wherein said operating data comprises information related to at least one use of said at least one second vehicle in the group of: - a service life of respectively at least one gear in a gearbox (103) in said at least one second vehicle; a service life of at least one speed, respectively, which is supplied to a gearbox (103) in said at least one second vehicle; a service life of respectively at least one engine torque which is supplied to a gearbox (103) in said at least one second vehicle; a service life of at least one engine torque per used gear for a gearbox (103) in said at least one second vehicle, respectively; - at least one fuel consumption for an engine (101) in said at least one second vehicle; - at least one driving force on at least one wheel (111, 112, 113, 114) of said at least one second vehicle; - at least one loss for a driveline in said at least one second vehicle; - at least one road slope and at least one vehicle speed for road sections where said at least one second vehicle has been used; and at least one height above sea level for places where said at least one second vehicle has been used.
[7]
A system according to any one of claims 1-6, further comprising a conversion unit arranged to convert said operating data into corresponding forces, said simulation unit being arranged to utilize said corresponding forces in said simulation.
[8]
A system according to any one of claims 1-7, wherein said retrieval unit is arranged to perform the steps of: - receiving an input of identification information for said at least one second vehicle; identifying said at least one second vehicle based on said identification information, and - retrieving said operating data.
[9]
The system of claim 8, wherein said identification information comprises an identification in the group of: - a chassis number; and - a registration number.
[10]
A system according to any one of claims 1-9, wherein said simulation unit is arranged to at least perform the steps of: - calculating a first simulation value based on said operating data and on at least a first parameter value for at least one of said plurality of parameters, wherein said at least one first parameter value is related to a first specification; calculating at least a second simulation value based on said operating data and on at least a second parameter value for said at least one of said plurality of parameters, said at least one second parameter value being related to a second specification; Comparing said first simulation value and said at least one second simulation value; indicate said first specification or said second specification as an appropriate specification based on said comparison.
[11]
A system according to claim 10, wherein said simulation unit is arranged to perform at least the steps of: - comprising in said at least one second simulation value a plurality of second simulation values, each of said plurality of second simulation values being calculated based on respective at least one second parameter value; - comparing in said comparison said first simulation value and said plurality of second simulation values; - identify a predetermined number of specifications as possible suitable specifications based on said comparison; and - indicating said predetermined number of possible suitable specifications.
[12]
A system according to any one of claims 10-11, wherein said first simulation value and said at least one second simulation value are related to at least one in the group of: fuel consumption; driveability; component life; and energy storage.
[13]
A system according to any one of claims 8-12, wherein said operating data is provided to said retrieval unit by someone in the group of: - said at least one second vehicle; and a database, which is arranged to store operating data from said at least one second vehicle.
[14]
A system according to any one of claims 1-13, wherein at least one of said plurality of parameters is related to at least one property in the group of: - a gear for a rear axle; - a gearbox (103); - a motor (101); - a coupling (106); - a braking system; - a turbocharger; - a wheel type; - a gearbox; - a battery; and - an exhaust gas purification system (200).
[15]
A system according to any one of claims 1-14, wherein said simulation unit is arranged to base said simulation also based on one or more in the group of: - acceleration and time; - deceleration and time; - retarder data; - vehicle load; - outside temperature; - gearbox temperature; - oil temperature; - altitude; and - amount of fuel consumed.
[16]
A computer program comprising program code, which when said program code is executed in a computer causes said computer to perform a method of performing a systematic selection of a specification for a first vehicle, said specification comprising a plurality of parameters related to properties of said first vehicle, characterized by: - retrieving operating data from at least one second vehicle, said operating data including information on how said at least one second vehicle has been utilized; simulating how an adjustment of at least one of said plurality of parameters affects said characteristics of said first vehicle, said simulation being based on said operating data; and - selecting at least one specification based on said simulation.
[17]
A computer program product comprising a computer readable medium and a computer program according to claim 15, wherein said computer program is included in said computer readable medium.
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同族专利:
公开号 | 公开日
EP2909074A4|2016-03-16|
EP2909074A1|2015-08-26|
KR20150075102A|2015-07-02|
BR112015008639A2|2017-07-04|
US20150254395A1|2015-09-10|
BR112015008639B1|2020-12-29|
KR101735723B1|2017-05-24|
US10853530B2|2020-12-01|
WO2014062126A1|2014-04-24|
SE536699C2|2014-06-03|
引用文献:
公开号 | 申请日 | 公开日 | 申请人 | 专利标题

US4207610A|1978-12-18|1980-06-10|Ford Motor Company|Apparatus and method for testing and controlling manufacture of a vehicle electrical system|
JPH0579949A|1990-12-26|1993-03-30|Nec Home Electron Ltd|Abs simulation device|
US5717595A|1995-01-12|1998-02-10|Cherrington; John K.|Integrated automated vehicle analysis|
DE19703561A1|1997-01-31|1998-08-06|Zahnradfabrik Friedrichshafen|Device for evaluating vehicle, drive and operating parameters|
SE9801877L|1998-05-27|1999-11-28|Daimler Chrysler Ag|Method and apparatus for optimizing and / or simulating at least one global parameter of the vehicle in the manufacture of a vehicle|
JP4743944B2|2000-08-25|2011-08-10|鎮男 角田|Simulation model creation method and system and storage medium|
JP2002297696A|2001-01-26|2002-10-11|Nissan Motor Co Ltd|System and method for producing automobile|
US7216094B2|2001-05-24|2007-05-08|Gelco Corporation|Web vehicle ordering system|
DE10130663A1|2001-06-28|2003-01-23|Continental Teves Ag & Co Ohg|Method for modifying a driving stability control of a vehicle|
JP4747474B2|2001-09-19|2011-08-17|マツダ株式会社|Computer program for planning new vehicles|
SE520231C2|2001-10-31|2003-06-10|Volvo Lastvagnar Ab|Vehicle and method for automatic selection of a gearbox of a gearbox included in a vehicle|
US6654770B2|2002-01-10|2003-11-25|Mycarstats.Com, Llc|Automobile safety and maintenance information systems and methods and related services|
JP2003281197A|2002-03-25|2003-10-03|Honda Motor Co Ltd|Electronic part list system|
JP3734167B2|2002-07-10|2006-01-11|マツダ株式会社|Planning support program, method, apparatus and recording medium|
JP2004118370A|2002-09-25|2004-04-15|Hitachi Ltd|Vehicle information collection system and method|
US7024306B2|2003-07-24|2006-04-04|Miyama, Inc.|Evaluation system for vehicle operating conditions and evaluation method thereof|
US7440877B2|2004-03-12|2008-10-21|General Motors Corporation|System and method for morphable model design space definition|
JP4306510B2|2004-03-29|2009-08-05|三菱自動車エンジニアリング株式会社|Vehicle inspection management system|
US7454962B2|2004-08-18|2008-11-25|Nissan Diesel Motor Co., Ltd.|Fuel consumption evaluation system|
US7447616B2|2005-08-10|2008-11-04|Ford Global Technologies, Llc|Method and system for developing a vehicle package|
EP1770618A1|2005-09-26|2007-04-04|Mazda Motor Corporation|Vehicle planning support system|
US20070143195A1|2005-12-15|2007-06-21|Bell Ryan B|Systems and methods for evaluating terms of a deal to purchase a vehicle|
US7647210B2|2006-02-20|2010-01-12|Ford Global Technologies, Llc|Parametric modeling method and system for conceptual vehicle design|
US7874078B2|2006-09-22|2011-01-25|Harrill Mitchell C|Vehicle dimensional measuring system|
JP4914692B2|2006-11-02|2012-04-11|日立オートモティブシステムズ株式会社|Automotive control device|
US7844622B1|2006-12-04|2010-11-30|Cessna Aircraft Company|System and method for maintaining a product specification within regional parameters when selecting options|
JP4396723B2|2007-04-03|2010-01-13|トヨタ自動車株式会社|Energy saving operation promotion device|
AT9467U3|2007-06-14|2008-07-15|Avl List Gmbh|DEVICE AND METHOD FOR SIMULATING A DEVELOPMENT SYSTEM|
US9070298B2|2007-08-15|2015-06-30|Ford Global Technologies, Llc|Reconfigurable vehicle model|
JP4329864B2|2008-02-12|2009-09-09|トヨタ自動車株式会社|Control device for vehicle power transmission device|
WO2009121995A1|2008-04-01|2009-10-08|Crambo, S.A.|Device for monitoring vehicle driving|
AT10759U3|2009-04-23|2010-07-15|Avl List Gmbh|METHOD AND DEVICE FOR VERIFYING AN AUTOMATION SYSTEM|
RU2514627C2|2009-09-14|2014-04-27|Сканиа Св Аб|Method of control of gearbox|
ES2732249T3|2009-09-25|2019-11-21|Geotab Inc|System, method and software to simulate the use of vehicle energy|
US8489312B2|2009-10-29|2013-07-16|GM Global Technology Operations LLC|Method and system for detecting operating errors in a variable valve timing engine|
US20110184642A1|2009-12-18|2011-07-28|Daimler Trucks North America Llc|Fuel efficient routing system and method|
US8818543B2|2010-01-14|2014-08-26|Ford Motor Company|Computerized method and system for selecting technology used in vehicle production|
US8412367B2|2010-04-23|2013-04-02|Toyota Motor Engineering & Manufacturing North America, Inc.|Forming vehicle body models and other objects|
US9208626B2|2011-03-31|2015-12-08|United Parcel Service Of America, Inc.|Systems and methods for segmenting operational data|
JP5556965B2|2011-06-29|2014-07-23|日産自動車株式会社|Vehicle driving support device|
CA2859069C|2011-12-15|2020-02-25|Peter YORKE|A device to increase fuel economy|
SE536699C2|2012-10-17|2014-06-03|Scania Cv Ab|Systematic choice of vehicle specification|
US20140309930A1|2013-04-15|2014-10-16|Flextronics Ap, Llc|Automatic camera image retrieval based on route traffic and conditions|
US9910433B1|2016-10-17|2018-03-06|General Electric Company|System for remotely operating a vehicle system|SE536699C2|2012-10-17|2014-06-03|Scania Cv Ab|Systematic choice of vehicle specification|
CN109070745B|2016-03-25|2021-09-03|康明斯有限公司|System and method for adjusting vehicle operating parameters based on vehicle duty cycle|
DE102019205521A1|2019-04-16|2020-10-22|Robert Bosch Gmbh|Method for reducing exhaust emissions of a drive system of a vehicle with an internal combustion engine|
法律状态:
优先权:
申请号 | 申请日 | 专利标题
SE1251175A|SE536699C2|2012-10-17|2012-10-17|Systematic choice of vehicle specification|SE1251175A| SE536699C2|2012-10-17|2012-10-17|Systematic choice of vehicle specification|
US14/436,520| US10853530B2|2012-10-17|2013-10-17|System for systematic selection of vehicle specification|
PCT/SE2013/051211| WO2014062126A1|2012-10-17|2013-10-17|Systematic choice of vehicle specification|
BR112015008639-0A| BR112015008639B1|2012-10-17|2013-10-17|system for systematic selection of vehicle specification|
KR1020157013056A| KR101735723B1|2012-10-17|2013-10-17|Systematic choice of vehicle specification|
EP13846679.2A| EP2909074A4|2012-10-17|2013-10-17|Systematic choice of vehicle specification|
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