DE102009013175A1 - Energy management controlling method for fuel cell vehicle, involves predicting of traffic conditions to be estimated and controlling parameters of energy management of vehicle depending on prediction - Google Patents

Abstract

The method involves predicting of free traffic condition (F), synchronized traffic condition (S), a wide moving jam traffic condition (J) to be estimated, and controlling parameters of an energy management of a vehicle depending on the prediction. Probabilities (P) for transitions from an actual traffic condition into another traffic condition are determined at an actual time point (T0). Information for energy management and the parameters to be changed, are indicated to a driver. An alternative travel route is determined under consideration of the parameters.

Description

The The invention relates to a method for controlling an energy management in a vehicle according to the features of the preamble of the claim 1.

From the prior art, as in the DE 10 2007 005 030 A1 described a method for controlling a vehicle with hybrid drive. The vehicle comprises at least one internal combustion engine and at least one electric machine. In order to optimize the driving behavior of the vehicle, operating parameters of vehicles from the surroundings of the vehicle are recorded with an environment detection system. The hybrid drive is controlled depending on the detected operating parameters.

In the DE 10 2006 001 354 A1 A method for forecast-based congestion monitoring in a vehicle is described. The vehicle comprises a locating unit, a digital road map, a communication unit and a display unit for displaying traffic forecasts. The traffic forecasts are prepared using procedures for current traffic warehouse construction and / or traffic prediction methods and systems. Use is made of hydrographs and / or historical information for traffic forecasting and a processing unit for data analysis of acquired traffic condition data. Traffic forecasts are created for at least one selected route, wherein for the traffic jam monitoring a probability for the arrival of the traffic forecast and an associated validity period of the traffic forecast are determined and displayed for each of the traffic forecasts that have been created.

From the DE 10 2004 023 620 A1 are known a method and a device for energy management in a motor vehicle, in particular in a hybrid vehicle. The device comprises at least one electric machine, which is connected via a DC / DC converter to the electrical system and an energy storage device which is connected to the electric machine. The energy store has a higher rated voltage than the electrical system. The DC / DC converter is adjustable in its output voltage, wherein the output voltage of the DC / DC converter can be regulated as a function of the vehicle speed and / or the electrical system current consumption.

Of the Invention is based on the object, an improved method to specify for controlling an energy management in a vehicle.

The The object is achieved by a method for controlling an energy management in a vehicle with the Characteristics of claim 1 solved.

preferred Embodiments and developments of the invention are in the dependent Claims specified.

In a method for controlling an energy management in one Vehicle according to the invention forecasts of expected traffic conditions and parameters the energy management of the vehicle depending on the controlled forecasts.

The Solution according to the invention enables efficient energy management in the vehicle using predictive Traffic forecasts, so that, for example, with a sufficient Probability predicted congestion event on a current Driving route of the vehicle is a power consumption of electrical consumers is reduced or a traffic jam avoidance is recommended. This can an overload of a vehicle electrical system and a vehicle battery the vehicle can be prevented which, for example, in a slow drive of the vehicle in a traffic jam and a resulting lower generator power and a simultaneous heavy use of many electrical consumers, such as lighting, air conditioning and telematics systems occurs. Especially in winter operation Consumer demand is often so high that over a longer period of time the generator power is insufficient to operate all consumers and additionally the To charge the battery. This requires optimized operation of the vehicle electrical system which by means of the solution according to the invention is realized. By means of the invention The solution is in particular the energy management of a Hybrid vehicle optimized accordingly.

embodiments The invention will be explained in more detail with reference to drawings.

there demonstrate:

1 a schematic representation of traffic conditions out of town,

2 a representation of in 1 determined probabilities in a table,

3 a schematic representation of a vehicle trajectory out of town

4 a schematic representation of traffic conditions in town,

5 a representation of in 4 ermittel ten probabilities in a table, and

6 a schematic representation of a vehicle trajectory urban.

each other corresponding parts are in all figures with the same reference numerals Mistake.

to Implementation of the procedure are in a vehicle means intended for recording the traffic situation. These funds can for example, a locating unit, information of a driver assistance system, z. B. a distance control, a digital road map, a communication unit and / or a receiving unit for Include traffic information.

By means of at least one or more of these means for detecting the traffic situation, a conventional traffic condition detection is realized in the vehicle, as in the application DE 10 2007 052 244 is described, the contents of which are incorporated herein by reference. Alternatively or additionally, by means of at least one of these means for detecting the traffic situation, a conventional detection of a queue and its length prediction in-town after DE 199 44 075 A1 whose content is also incorporated herein by reference. From the detected traffic situations or traffic conditions traffic state forecasts can be created, such as in "BS Kerner, The Physics of Traffic, Springer, Berlin, 2004" is set forth. As a result, forecasts of expected traffic conditions F, S, J, W along this route can be created for a planned route of the vehicle. In the method according to the invention, these forecasts can be used to control parameters of an energy management of the vehicle as a function of the forecasts that have been created.

Of Further, by means of additional or alternative Means for detecting the traffic situation, for example RDS / TMC traffic reports used by radio stations to detect the traffic situation.

The Communication unit can with automatic traffic monitoring devices and / or with stationary devices for automatic traffic control and / or communicating with other vehicles to detect the traffic situation.

The described means for detecting the traffic situation separate, parallel but independent cooperative and / or complementary.

The Results of the detection of the traffic situation can in Vehicle self-utilization and / or to a traffic infrastructure facility such z. As a traffic control center or other vehicles become.

1 shows a schematic representation of probabilistically networked possible traffic conditions F, S, J out of town at a time T0 and at a time T1 on a designated route of the vehicle. By means of the traffic condition recognition described above, probabilities P for transitions from one traffic state F, S, J to another traffic state F, S, J can be determined at the time T0 for the time T0, for the time T1 and for further future times Tn. This makes it possible to predict in which traffic condition F, S, J the vehicle will most likely be located at a time T1 and at further future times Tn. On the basis of these forecasts, parameters of the energy management of the vehicle can be controlled accordingly.

Out-of-town traffic is characterized by three traffic conditions F, S, J, free traffic F, synchronized traffic S and moving wide traffic jams J. As in 1 As shown, at time T0 for the vehicle, when it is in traffic condition free traffic F at time T0, a probability P of 0.7 has been determined that it will continue to be in traffic condition free traffic F at time T1 Probability P of 0.2 will be traffic-synchronized traffic S at time T1, and with probability P of 0.1 there will be traffic jamming J in traffic state T1.

is the vehicle is synchronized in the traffic state at time T0 Traffic S, so it will be at time T1 with probability P of 0.6 traffic remaining synchronized in the traffic state S, with a probability P of 0.3 it will be in the traffic state free traffic F and with a probability P of 0.1 becomes wider in traffic condition Jam J are located.

is the vehicle at the time T0 in the traffic condition more moving wide jam J, so it will be at the time T1 with probability P of 0.5 continues to move in traffic condition wide traffic jam J, with a probability P of 0.2 it will be in the traffic state free traffic F and with a probability P of 0.3 will be traffic synchronized traffic S are located.

At time T0 is further determined, if the vehicle at time T1 in ei nem of the traffic conditions F, S, J is in which traffic condition F, S, J it will then be at a time T2, as also in the 1 shown.

is the vehicle is synchronized in the traffic state at time T1 Traffic S, so it will be at time T2 with probability P of 0.7 continues to be traffic synchronized traffic S, with a probability P of 0.1 it will be in the traffic state free traffic F and with a probability P of 0.2 becomes wider in traffic condition Jam J are located.

is the vehicle at the time T1 in the traffic condition is moving wide jam J, so it will be at time T2 with probability P of 0.2 continues in the traffic condition moving wide traffic jam J, with a probability P of 0.1 it will be in the traffic state free traffic F and with a probability P of 0.7 will be traffic synchronized traffic S are located.

is the vehicle at time T1 in traffic free traffic F, it will be at the time T2 with the probability P of 0.4 continue to be in traffic free traffic F, with A probability P of 0.1 will be in the traffic state moving J jamming are located and with a chance P of 0.5 will be traffic synchronized traffic S are located.

These Probabilities P at time T0 are also for others future time points Tn can be determined.

In 2 these determined probabilities P are summarized in a table and can thus be used as the basis for controlling the parameters of the energy management. At a later time Tn, these probabilities P are again determined with updated traffic information.

3 shows in a time-time diagram, ie in a temporal-spatial traffic pattern predicted at a time T0 Fahrzeugtrajektorie xt, d. h a predicted at time T0 course of driving the vehicle along a planned route out of town. In the example shown here, it is predicted that the vehicle will move from the time T0 to the time T1 with a high probability P in the traffic condition free traffic F between the time T1 and the time T2 in a moving wide jam J, between the Time T2 and the time T3 will again change from the moving wide jam J out in the traffic condition free traffic F and will retract at the time T3 in a synchronized traffic S. This predicted course can be constantly updated while driving since the probabilities P are re-determined on the basis of updated traffic information.

Based the probabilities P or determined at the time T0 the temporal spatial traffic pattern become parameters controlled by the energy management of the vehicle. For example Measures to reduce electrical consumption introduced, for example, a power consumption of an air conditioner, a blower, of lighting devices in particular in an interior of the vehicle or a power consumption of Telematic systems, in particular reduced by their display units, if the probability P for the traffic condition itself moving wide jam J exceeds a predetermined value, d. H. it is highly likely P to expect that Vehicle in a near future in a moving wide traffic jam J will retract.

In This jam moving wide jam J is a strong one Starting and Abbremsbetrieb the vehicle to be expected, creating a Generator of the vehicle does not provide enough energy. This would without a change in the parameters of the energy management lead to a very heavy load on the battery of the vehicle. In particular, when it is predicted that the traffic condition itself moving wide jam for a long time lasts the parameters of the energy management changed accordingly. For example, not needed and in particular non-safety-relevant consumers switched off or their power consumption reduced. Reducing the power consumption of the electrical Consumers can be done, for example, to such an extent that therefore only insignificant loss of comfort, but in particular no loss of security for vehicle occupants For example, a reduction in power consumption the blower or an interior lighting.

Becomes however, predicts that the vehicle is in traffic Free traffic F will move and therefore a full performance of the Generator is to be expected, such measures are not required.

If at present, ie at time T0 free traffic F for a later time Tn, for example, at the time point T1 with high probability P, which exceeds a predetermined value, predicts that the vehicle in a moving wide jam J or in synchroni Siert traffic S, energy management parameters can be controlled so that the battery is charged more, so that enough energy for the expected traffic condition J, S is available and then the power consumption of the consumer does not need or only slightly reduced.

4 shows, analogous to 1 , A schematic representation of probabilistically networked possible traffic conditions F, W urban at a time T0 and at a time T1 on a designated route of the vehicle. By means of the traffic condition detection described above, probabilities P for transitions from one traffic state F, W to another traffic state F, W can also be determined at the time T0 for the time T0, for the time T1 and for further future times Tn. As a result, it can also be predicted in-town in which traffic condition F, W the vehicle will most likely be located at a time T1 and at further future times Tn. Based on these forecasts, parameters of the vehicle's energy management are controlled accordingly.

Inland traffic is characterized by two traffic conditions F, W, free traffic F and congestion urban W, the traffic congestion urban W results, for example, by queues at intersections. As in 4 At time T0 for the vehicle, when it is in the traffic condition free traffic F at time T0, a probability P of 0.3 has been determined that it will continue to be in traffic condition free traffic F at time T1 Probability P of 0.7 will be in traffic congestion urban W at time T1.

is the vehicle at time T0 in traffic congestion urban W, it will be at the time T1 with the probability P of 0.6 continue to be in traffic congestion urban W and with a probability P of 0.4 will be in the traffic state free traffic F are located.

Furthermore, it is possible to determine at time T0 when the vehicle is in one of the traffic states F, W at time T1, in which traffic state F, W it will then be at a point in time T2, as likewise in FIG 4 shown.

is the vehicle at time T1 in traffic congestion urban W, so it is at the time T2 with the probability P of 0.7 continue to be in traffic congestion urban W and with a probability P of 0.3 will be in the traffic state free traffic F are located.

is the vehicle at time T1 in traffic free traffic F, it will be at the time T2 with the probability P of 0.8 continue to be in traffic free traffic F and with a probability P of 0.2 will be in the traffic state Congestion in town W are.

These Probabilities P at time T0 are also for others future time points Tn can be determined.

In 5 these determined probabilities P are summarized in a table and can thus be used as the basis for controlling the parameters of the energy management. At a later time Tn, these probabilities P are again determined with updated traffic information.

6 shows in a time-time diagram, ie in a temporal-spatial traffic pattern predicted at a time T0 Fahrzeugtrajektorie xt, d. h a predicted at time T0 course of a drive of the vehicle along a designated route in town. In the example shown here, it is predicted that the vehicle will move from time T0 to time T1 with high probability P first in the traffic condition free traffic F and then will change to the traffic congestion urban W, between the time T1 and the time T2 as well between the time T2 and the time T3 traffic will congestion urban W move, for example, in a queue at an intersection, and after the time T3 in the traffic condition free traffic F will change. This predicted course can be constantly updated while driving since the probabilities P are re-determined on the basis of updated traffic information.

Based the probabilities P or determined at the time T0 the temporal spatial traffic pattern become parameters the energy management of the vehicle also in traffic in the city accordingly controlled.

Thus, inland, for example, the measures already described for reducing electrical consumption are initiated if the probability P for traffic congestion urban W exceeds a predetermined value, ie it is to be expected with high probability P, that the vehicle in the near future in a traffic jam in W city. In this traffic congestion urban W is a strong starting and braking expected operation of the vehicle, whereby the generator of the vehicle does not provide enough energy. This would result in a very heavy load on the battery of the vehicle without changing the parameters of the energy management. In particular, when it is predicted that this traffic congestion congestion W will take a long time t, the parameters of the energy management should be changed accordingly.

Becomes however, predicts that the vehicle is in traffic Free traffic F will move and therefore a full performance of the Generator is to be expected, such measures are not required.

Becomes at current, d. H. at time T0 free traffic F for a later time Tn, for example, at the time T1 with high probability P, which exceeds a predetermined value, predicts that the vehicle in traffic congestion urban W will be able to enter parameters of energy management be controlled so that the battery is charged more, so that enough energy for the expected traffic condition Traffic congestion W is available and then the performance the consumer does not have to be reduced or only slightly.

Of Further, in addition, for example, currently received traffic information, for example RDS / TMC messages from radio stations, are evaluated and taken into account current parameter of energy management an alternative route determined and / or the parameters of the energy management accordingly the received traffic information is controlled. For example can be bypassed by an alternative route a jam J, W whereby at then free traffic F achieves a full generator power and the battery can be optimally charged and the consumers can be operated at full power. alternative The consumption of power is reduced by consumers and a charge the battery is optimized before the jam J, W is reached.

Conveniently, should inform a vehicle driver of the vehicle for energy management and changed parameters of energy management be displayed, for example by means of a load or overload indicator. In particular, a reduction in power consumption of consumers should be displayed to inform the driver is that it is not a malfunction of consumers.

On this way, an efficient energy management in the vehicle is under Using predictive traffic forecasts, so that, for example, one with reasonable probability P predicted congestion event on a current route of the Vehicle reduces the power consumption of electrical consumers or a traffic jam bypass is recommended. This can cause an overload a vehicle electrical system and the battery of the vehicle are prevented, which for example, during a slow drive of the vehicle in traffic jam J, W and a resulting lower generator power and a simultaneous heavy use of many electrical consumers occurs. Especially in winter operation is a power requirement the consumer is often so high that over a longer period of time the generator power is insufficient to operate all consumers and additionally the To charge the battery. This makes an optimized operation of the electrical system through an optimization of the energy management required.

The In particular, the method described is also an optimization the operation of a hybrid vehicle usable. For example, can at a high probability P expected traffic condition Jam J, W are switched in advance to an internal combustion engine and thus batteries of the vehicle are spared or charged, so that in traffic jam J, W with a strong startup and Abbremsbetrieb enough energy is available, so that the hybrid vehicle energetically operated with an electric motor can be.

F

traffic condition free traffic

J

traffic condition moving wide traffic jam

S

traffic condition synchronized traffic

W

traffic condition Traffic jam in the city

P

probability

T0 to Tn

timings

x

place

t

Time

xt

vehicle trajectory

QUOTES INCLUDE IN THE DESCRIPTION

This list The documents listed by the applicant have been automated generated and is solely for better information recorded by the reader. The list is not part of the German Patent or utility model application. The DPMA takes over no liability for any errors or omissions.

Cited patent literature

• DE 102007005030 A1 [0002]
• DE 102006001354 A1 [0003]
• DE 102004023620 A1 [0004]
• - DE 102007052244 [0020]
• - DE 19944075 A1 [0020]

Cited non-patent literature

• - "BS Kerner, The Physics of Traffic, Springer, Berlin, 2004" [0020]

Claims (7)

A method for controlling an energy management in a vehicle, characterized in that forecasts of expected traffic conditions (F, S, J, W) are created and parameters of the energy management of the vehicle are controlled in dependence on the forecasts created. Method according to claim 1, characterized in that that at a current time (T0) probabilities (P) for transitions from a current traffic condition (F, S, J, W) determined in another traffic condition (F, S, J, W) become. Method according to claim 1 or 2, characterized that at the present time (T0) probabilities (P) for transitions from all possible traffic conditions (T0) at this time (F0) S, J, W) into other traffic conditions (F, S, J, W) become. Method according to one of the preceding claims, characterized in that at the current time (T0) for one or more future times (Tn) probabilities (P) for transitions from all possible ones Traffic conditions (F, S, J, W) in other traffic conditions (F, S, J, W) are determined. Method according to one of the preceding claims, characterized in that currently received traffic information be evaluated and taking into account current Energy Management parameter determines an alternative route and / or the parameters of the energy management according to the received traffic information to be controlled. Method according to one of the preceding claims, characterized in that a vehicle driver information on energy management and changed parameters of the Energy management are displayed. Use of the method according to one of the claims 1 to 6 in a vehicle with internal combustion engine drive, in one Vehicle with hybrid drive, in a vehicle with electric motor drive and / or in a fuel cell vehicle.