BE1018508A3 - System and method for adaptive control of a vehicle drive system and a software application used thereof. - Google Patents

System and method for adaptive control of a vehicle drive system and a software application used thereof. Download PDF

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Publication number
BE1018508A3
BE1018508A3 BE2009/0128A BE200900128A BE1018508A3 BE 1018508 A3 BE1018508 A3 BE 1018508A3 BE 2009/0128 A BE2009/0128 A BE 2009/0128A BE 200900128 A BE200900128 A BE 200900128A BE 1018508 A3 BE1018508 A3 BE 1018508A3
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BE
Belgium
Prior art keywords
system
drive system
adaptive control
characterized
according
Prior art date
Application number
BE2009/0128A
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Dutch (nl)
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Punch International Nv
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Priority to BE200900128 priority Critical
Priority to BE2009/0128A priority patent/BE1018508A3/en
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Publication of BE1018508A3 publication Critical patent/BE1018508A3/en

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units, or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
    • B60W30/18Propelling the vehicle
    • B60W30/188Controlling power parameters of the driveline, e.g. determining the required power
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/50Intelligent control systems, e.g. conjoint control
    • Y02T10/56Optimising drivetrain operating point
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/80Technologies aiming to reduce greenhouse gasses emissions common to all road transportation technologies
    • Y02T10/84Data processing systems or methods, management, administration

Abstract

System (1) for adaptive control of a drive system (2) of a vehicle, which drive system (2) consists of a motor and a transmission, characterized in that this system (1) can communicate with information providers (6), which have data concerning the make the system (1) the road, traffic situation and current status of the vessel, on the basis of which the system (1) determines parameters for setting the propulsion system (2) that optimize a set target function and for which purpose use is made of a software application.

Description

System and method for adaptive control of a drive system of a vehicle and a software application used.

The present invention relates to a system and a method for adaptive control of a drive system of a vehicle and a software application used therein.

More specifically, the invention is intended to control the drive system as optimally as possible.

It is known that a driver must constantly adapt his driving behavior to the circumstances of the road and the traffic situation. Examples of such circumstances are: • intersections; • round points; • traffic lights; • entry and exit ramps; • turns; • slopes; • traffic jams; • weather conditions; • distance to the vehicle in front; • speed of the vehicle in front; • speed limits; • planned stops.

These circumstances require a great deal of attention from the driver and they will regularly need the driver to adjust his speed, whether or not using the gears of the vehicle's transmission and of the brakes.

Often this will be accompanied by a speed reduction, followed by an acceleration when the obstacle disappears.

A disadvantage of this is that the careless driver will not always accelerate and / or shift optimally: often the acceleration is followed by a sudden or sudden braking.

A disadvantageous consequence of this is the associated fuel waste.

In addition to the associated costs, the adverse effects on the environment must also be taken into consideration.

Another disadvantage is that unsafe situations can arise, often outside the driver's awareness. Examples of this are approaching intersections or curves at too high a speed, driving too close to the predecessor, accelerating sporty.

Although GPS systems already have a lot of information to assist the driver during his journey, this information is often static. If the driver chooses an alternative route, for example because he is in a traffic jam, such systems will calculate a new route. However, if such systems do not know the extent of the traffic congestion, this new route can lead the driver to the traffic congestion again.

Systems equipped with a continuously variable transmission offer more possibilities to alleviate the driver's task by eliminating the need to switch and can, provided more information is available, help the driver to control the transmission and optimum control of the engine power.

More and more hybrid vehicles will be used in the future. With such vehicles the additional problem arises of the optimum use of the different energy sources in function of their availability, cost price, degree of pollution and the like.

The present invention has for its object to provide a solution to at least one of the aforementioned and other disadvantages.

To this end, the invention provides a system for adaptive control of a driving system of a vehicle, which driving system consists of a motor and a transmission, whereby this system can communicate with information providers, which provide information about the road, traffic situation and the current status of the vehicle. make the vehicle available to the system, on the basis of which the system determines parameters for the adjustment of the drive system that optimize a set target function and where use is made of a software application.

A major advantage of such a system is that the optimum setting of the drive system is determined without the intervention of the driver and this relieves it.

Another advantage of such a system is the increased safety that can be achieved with it. The system can alert the driver to situations that require his attention or that compromise safety. For example, the system may indicate that a turn is on the horizon and that a speed adjustment would be desirable or anticipated when a traffic light will turn red to thus obtain information regarding a suitable speed adjustment so as to make a superfluous or prevent unauthorized acceleration.

Another advantage is that for this optimization use is made of a wide range of data, such as the road, the traffic situation and the current status of the vehicle.

Another advantage is that the parameters can be optimized for a specific goal function. In this way it is possible, for example, to strive for a minimum fuel consumption, a minimum environmental impact or as short or as fast a travel route as possible.

An additional advantage is that the system is extremely suitable for use in vehicles with a continuously variable transmission and in hybrid vehicles.

In a preferred embodiment, an additional other advantage can be obtained that certain or all parameters can possibly be set directly by the system on the drive system, so that the driver is also relieved of these tasks.

The invention also relates to a method for adaptive control of a drive system, which drive system consists of a motor and a transmission, wherein this method makes use of a system for adaptive control of a drive system according to the invention.

Method for adaptive control of a drive system of a vehicle, which drive system consists of a motor and a transmission characterized in that information about the road, traffic situation and the current status of the vehicle is obtained from information providers, on the basis of which optimized parameters for the setting of the drive system can be determined, whereby this optimization is carried out in function of a set target function and where a software application is used for this.

Furthermore, the invention also relates to a software application which contains instructions for adaptive control of a drive system, wherein the software application can be loaded into a programmable processing unit with a memory, wherein the software application implements the collection, processing and presentation of the data, as well as the controls for a system for adaptive control of a drive system according to the description.

The invention also relates to a product of such a software application, wherein this product comprises a medium that can be read by a programmable processing unit and on which information signals are recorded that are representative of the software application.

With the insight to better demonstrate the features of the invention, a preferred embodiment of a system according to the invention for adaptive control of a drive system of a vehicle, with reference to the accompanying drawing, is described below as an example without any limiting character. wherein: Figure 1 shows a diagram of an adaptive control system of a drive system of a vehicle according to the invention, in which the most important components and information flows are shown.

A system 1 for adaptive control of a drive system 2 of a vehicle comprises a software application 3 which can be loaded into the memory 4 of a programmable processing unit 5. This programmable processing unit 5 can belong to the system 1. In another embodiment, however, the system 1 can also be integrated with an existing programmable processing unit 5.

The system 1 can exchange data with different information providers 6 via communication channels 7 provided for this purpose. The data flow can be unidirectional or bidirectional.

The communication channels 7 with information providers 6 that are external to the vehicle and with which data are exchanged while driving will comprise a wireless connection 8. For communication channels 7 with information providers 6 that are in the vehicle, this is generally not necessary but is permitted.

In most cases, the system 1 will also be able to communicate with a database 9 that is stored in the vehicle itself.

The system 1 may also comprise measuring systems 10 if required. The raw or processed measurement data thereof is then processed by the system 1.

The results of the processing of the different data will be made available to the driver 11 or the drive system 2.

The system 1 can inform the driver 11 about the existence of certain states or of actions 13 to be taken by means 12 such as visual indicators, voice messages, audio signals, vibration signals and others.

As a result of this information, the driver 11 can take actions 13 which act on the drive system 2 of the vehicle.

However, it is also possible that the system 1 directly drives the drive system 2 via a control channel 14, without the intervention of the driver 11.

The operation of a system 1 for adaptive control of a drive system 2 of a vehicle is very simple and as follows.

In order to achieve optimum control of the drive system 2, the system 1 must have as much information as possible regarding the road, traffic situation and the current status of the vehicle.

The data is supplied by the various possible information providers 6.

The data available to the system can be divided into groups in various ways.

A distinction can thus be made between static and dynamic data. Static data refers here to data that remains valid for a long time. Examples of this are: speed limits, the location of the roads, of bends, of slopes, of entrances and exits, of roundabouts, of traffic lights, of speed cameras, of gas and charging stations and the like.

Dynamic data is only current for a limited or even very limited time. Examples of this are: planned stops during the route, traffic diversions, temporary speed restrictions, traffic congestion, weather conditions, position of traffic lights, distance to the vehicle in front, speed of the vehicle in front and the like.

It will be clear here that the lists of examples are by no means exhaustive and that all data that can be of any use to the system 1 can be considered.

Another subdivision can be made by considering the sources of the data.

Part of the possible information providers 6 will necessarily be outside the vehicle. Examples of this are dynamic data that must be collected while driving, such as the position of traffic lights, temporary speed limits and the like.

If such information providers 6 are used, they will make their data available to the system 1 via a wireless communication channel 8.

External information providers 6 who only exchange their data at stopping places, such as at a home, at gas stations and the like, can possibly also exchange their data via a physical connection.

Another part of the possible information providers 6 consists of measurement systems 10 in the vehicle which make their measurement data available to the system 1. This concerns, on the one hand, data on the status of the vehicle and of the drive 2 such as the speed of the vehicle , the position of the transmission, the speed and the like.

On the other hand, with the aid of such measuring systems 10 information can also be obtained about vehicles in the immediate vicinity, such as the distance and the speed of the vehicle in front.

Still another part of the possible information providers 6 may consist of one or more internal databases 9 that are stored in the vehicle. This data will generally be of a rather static nature. It is of course possible here to update the data in these databases 9 in known manner, online or offline.

To limit external data traffic, static or almost static data will preferably be stored in internal databases 9, while for more dynamic data external data providers 8 or measuring systems 10 will be preferred.

In the design of the system 1, a selection will be made of information providers 6 that will be used for the relevant embodiment of the system, as well as the communication channels 7 through which this data is collected.

A software application 3 will read in the data from the selected information providers 6 via the relevant communication channels 7 and, on the basis thereof, determine the optimum parameters for the adjustment of the vehicle's drive system 2 on the basis of a selected target function.

A major advantage of this is that the optimum parameters are determined proactively. This means that data relating to the future is taken into account, such as for example bends or slopes on the route and can thus influence the optimization of the parameters.

This software application 3 will be loaded into the memory 4 of a programmable processing unit 5 and executed by this programmable processing unit 5.

The programmable processing unit 5 can be part of the system 1 and can only be used for this purpose.

On the other hand, it is possible to run the software application 3 in the memory 4 of a programmable processing unit 5 that is also used for other installations, such as, for example, a programmable processing unit 5 for checking and controlling the hybrid aspect of a hybrid vehicle. In this case, of course, the required communication channels 7 with the information providers 6 used must be provided.

When new data becomes available, the software application 3 will update the parameters for setting the drive system 2 of the vehicle in function of the set target function.

The objective function is a mathematical description of the criterion or criteria according to which the optimization must be carried out. Examples of such criteria are: minimization of costs, minimization of fuel consumption, minimization of total energy consumption, minimization of the duration of the route, minimal emission of environmentally harmful substances, optimal use of available electrical energy.

Preferably, the set target function can be selected from a list of available target functions, each according to corresponding criteria.

It may also be possible to create new target functions, for example by making a weighted combination of existing criteria, in order to optimize the parameters for setting drive 2 according to this newly composed criterion.

In addition to the optimized parameters for setting the drive 2, the software application 3 can also perform other evaluations. For example, a warning can be generated at too high a speed, when the distance to the vehicle in front is too short, which can be useful in the event of difficult visibility of the vehicle in front and the like, whereby it can be useful that information is transmitted via an analog system from a vehicle ahead is obtained from the position and speed of the vehicle in front.

The system 1 can inform the driver 11, via the means provided for this purpose, which actions 13 he must take to make the drive system 2 work according to this optimized parameter or parameters or to remedy unsafe situations.

The system 1 can also automatically and directly adjust the parameters thus determined on the drive system 2 via a control channel 14, whereby errors caused by the human factor are avoided.

Also the combination, whereby certain parameters are set directly on the drive 2 and others through the intervention of the driver 11, is possible, so that, for example, the temporary deviation of a set criterion through manual input from the driver becomes possible.

For safety reasons, actions 13 by the driver 11 always take precedence over drives of the drive system 2 carried out by the system 1.

With manual transmissions, the system 1 will usually be aimed at informing the driver 11 about the recommended actions 13.

The system 1 can also be applied to a vehicle with a continuously variable transmission. This has the advantage that the system 1 can switch the transmission automatically according to the optimum parameters. The proactive strategy will ensure that the switching will take place on time and in the most efficient way, taking into account the set objective function.

The system 1 can also be applied to a hybrid vehicle, wherein the energy source for the drive 2 can be switched between different fuels and / or electrical energy.

The major difference between these vehicles lies in the presence of an energy buffer. In electric hybrid vehicles, this is, for example, a battery that feeds an additional electric motor and thereby temporarily takes over or supports the driving of the vehicle, this electric motor then forming part of the aforementioned drive 2.

With such vehicles, the possibility of having the switch between different energy sources controlled by the system 1 is an additional advantage, whereby a criterion to be set could, for example, consist of making maximum use of the available energy of the battery, taking into account the distance to the next charging station on the route.

It is also possible to place the control of the hybrid functions and of the system 1 for adaptive control of a drive system 2 of the vehicle in the same programmable processing unit 5.

The optimization of the parameters can be implemented at different levels. Here, an optimization at a lower level will be focused on a shorter term, for example for a speed change, while an optimization at a higher level for a longer period, for example for part of the route or for the entire route, will have an influence.

The optimisations at higher levels can be adapted adaptively in function of the optimisations at the lower level and based on new data provided by the information providers.

This is explained for an example where three levels are used: • micro level: short distance and short time optimizations, corresponding to a single event; • intermediate level: optimisations corresponding to part of the route; • macro level: optimisations over the entire process.

At the micro level, the parameters are optimized for a single event, such as accelerating and decelerating for the next turn. This level applies to both classic and hybrid vehicles.

When the proactive optimization takes into account, for example, a traffic jam over a distance of a number of kilometers or a slope over such a distance, this is an example of an optimization at an intermediate level. The optimization in this case can for example be aimed at having a full battery for an electric hybrid vehicle at the start of the traffic jam or the slope. After such an event, the battery may be empty or almost empty.

In this way it is possible to get through the traffic jam largely or completely with only electrical energy or to support the engine with additional electrical energy during the climb. During a descent the battery can be recharged, while the energy loss due to mechanical braking is kept to a minimum.

It is also possible to select in advance parts of the route where the electric drive can be used optimally and parts of the route where the battery can best be charged.

It is clear that such optimization also depends on the battery capacity of the vehicle in question.

From the start, the macro level will use all the information available at that time to map out an optimal route.

In an electric hybrid vehicle, if the battery can only be charged at certain charging points, for example at home, at gas stations, at restaurants and the like, the macro level can take this into account when determining the optimum route so that the use of electrical energy is optimized.

However, unforeseen circumstances may occur during the course, such as, for example, a shorter stop than anticipated, as a result of which the battery cannot be fully charged or charging locations that are out of use. Following such events, the intermediate level will correct the macro level.

In the same way, the micro level will be able to adjust the intermediate level when necessary.

The present invention is by no means limited to the exemplary embodiment and shown in the figure, but a system and method according to the invention for adaptive control of a drive system of a vehicle and a software application used therein can be realized in all shapes and sizes without departing from the scope of the invention.

Claims (21)

  1. System (1) for adaptive control of a drive system (2) of a vehicle, which drive system (2) consists of a motor and a transmission, characterized in that this system (1) can communicate with information providers (6), which data providing the system (1) with regard to the road, traffic situation and current status of the vehicle, on the basis of which the system (1) determines parameters for setting the drive system (2) that optimize a set target function and using a software application (3) for this purpose.
  2. System (1) for adaptive control of a drive system (2) according to claim 1, characterized in that the system (1) is applied to a vehicle with a continuously variable transmission.
  3. System (1) for adaptive control of a drive system (2) according to claim 1 or 2, characterized in that the system (1) is applied to a hybrid vehicle, wherein the energy source for the drive can be switched between different fuels and / or electrical energy and where switching can be controlled by the system (1).
  4. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that at least one of the aforementioned parameters determined by the system (1) is automatically set on the drive system (2) by a control of the system (1).
  5. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that the system (1) informs the driver (11) for at least one of the aforementioned parameters determined by the system (1) with which actions (13) he can operate the drive system (2) according to this optimized parameter or parameters.
  6. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that at least a part of said information providers (6) are external to the vehicle and data is available via a wireless communication channel (8) adjustment of the system (1).
  7. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that at least a part of said information providers (6) consist of measuring systems (10) which make measurement data available to the system.
  8. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that at least a part of said information providers (6) consists of one or more databases (9), internal to the system (1) .
  9. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that use is preferably made of external information providers (6) or of measuring systems (10) for dynamic data and of internal databases (9). ) for static or almost static data.
  10. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that the data used for optimization of the set target function is selected from the non-exhaustive list of: electronic road maps, bends in the road, gradients in the road, location of traffic lights, entrances and exits, round points, speed limits, speed cameras, traffic diversions, traffic congestion, position of traffic lights, roadworks, planned stops, distance to the vehicle in front, speed of the vehicle in front, weather conditions, and the like.
  11. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that the target function can be selected in function of the desired optimization.
  12. System (1) for adaptive control of a drive system (2) according to claim 11, characterized in that the set target function can be selected from a list of target functions, wherein each target function performs an optimization for a criterion, or for a combination of different criteria, from the following non-exhaustive list: minimization of fuel consumption, minimization of energy consumption, minimization of the duration of the route, minimal emission of environmentally harmful substances, optimal use of available electrical energy, and the like.
  13. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that the optimization is carried out at different levels, wherein an optimization at a lower level is aimed at a shorter term, for example for a speed change , and the optimization at a higher level for a longer period, for example for part of the route or for the entire route.
  14. System (1) for adaptive control of a drive system (2) according to claim 12, characterized in that the higher-level optimizations are adaptively adjusted as a function of the lower-level optimizations that have occurred and on the basis of new data provided by the information providers ( 6).
  15. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that the actions (13) of the driver (11) always take precedence over controls implemented or recommended by the adaptive control of the drive system (2).
  16. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that the system (1) comprises a programmable processing unit (5) with a memory (4).
  17. System (1) for adaptive control of a drive system (2) according to one of the preceding claims, characterized in that the system (1) is integrated with an external programmable processing unit (5) with a memory (4).
  18. Method for adaptive control of a drive system (2), which drive system consists of a motor and a transmission, characterized in that this method uses a system (1) for adaptive control of a drive system (2) according to one of the preceding claims .
  19. Method for adaptive control of a drive system (2) of a vehicle, which drive system (2) consists of an engine and a transmission characterized in that data concerning the road, traffic situation and the current status of the vehicle are obtained from information providers (6), on the basis of which optimized parameters for the adjustment of the drive system (2) are determined, this optimization being performed in function of a set target function and using a software application (3) for this.
  20. Software application (3) containing instructions for adaptive control of a drive system (2), characterized in that the software application (3) can be loaded in a programmable processing unit (5) with a memory (4), the software application (3) ) implement the collection, processing and presentation of the data, as well as the controls for a system (1) for adaptive control of a drive system (2) according to one of the preceding claims.
  21. A product from a software application (3), characterized in that this product comprises a medium that can be read by a programmable processing unit (5) and on which information signals are recorded representative of a software application (3) according to claim 20.
BE2009/0128A 2009-03-03 2009-03-03 System and method for adaptive control of a vehicle drive system and a software application used thereof. BE1018508A3 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
BE200900128 2009-03-03
BE2009/0128A BE1018508A3 (en) 2009-03-03 2009-03-03 System and method for adaptive control of a vehicle drive system and a software application used thereof.

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
BE2009/0128A BE1018508A3 (en) 2009-03-03 2009-03-03 System and method for adaptive control of a vehicle drive system and a software application used thereof.

Publications (1)

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BE1018508A3 true BE1018508A3 (en) 2011-02-01

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002042110A1 (en) * 2000-11-23 2002-05-30 Ricardo Consulting Engineers Limited Hybrid power sources distribution management
US7013205B1 (en) * 2004-11-22 2006-03-14 International Business Machines Corporation System and method for minimizing energy consumption in hybrid vehicles

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002042110A1 (en) * 2000-11-23 2002-05-30 Ricardo Consulting Engineers Limited Hybrid power sources distribution management
US7013205B1 (en) * 2004-11-22 2006-03-14 International Business Machines Corporation System and method for minimizing energy consumption in hybrid vehicles

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