DE102021004632A1 - Method and device for personalizing and optimizing a navigation route on the basis of various boundary and / or secondary conditions, in particular for electric vehicles - Google Patents

Abstract

The invention relates to a method for personalizing and optimizing a navigation route on the basis of various boundary and / or secondary conditions, in particular for electric vehicles, in which the navigation route (RRf) is determined at the request of a vehicle occupant and on the basis of objective environmental and / or Ambient conditions (RFz) a route recommendation (RE) is issued. In a method with which the personalization of the route is improved, the navigation route represents a reference route (RRf), from which the route recommendation (RE) is derived by using the reference route (RRf) specified by the vehicle occupant and individually weighted by the vehicle occupant Boundary and / or secondary conditions (F_Fahrer_i; G_i) is optimized in a personalized manner.

Description

The invention relates to a method for personalizing and optimizing a navigation route on the basis of various boundary and / or secondary conditions, in particular for electric vehicles, in which the navigation route is determined at the request of a vehicle occupant and a route recommendation is made on the basis of objective environmental and / or environmental conditions is issued and a device for performing the method.

From the US 2014/0222330 A1 a method for integrating context-dependent and historical data in a route determination is known, in which a route between a starting point and a destination is determined, which is compared with a weighted route recommendation taking into account objective data of the environment and a personal characteristic of the vehicle occupant.

The object of the invention is to specify a method and a device for personalizing and optimizing a navigation route, with which the personalization is improved.

The invention results from the features of the independent claims. Advantageous further developments and refinements are the subject matter of the dependent claims. Further features, possible applications and advantages of the invention emerge from the following description, as well as the explanation of exemplary embodiments of the invention, which are shown in the figures.

The object is achieved with the subject matter of claim 1.

In the method explained at the beginning, the navigation route represents a reference route from which the route recommendation is derived by optimizing the reference route in a personalized manner by means of boundary and / or secondary conditions specified by the vehicle occupants and individually weighted by the vehicle occupant. The active specification of the boundary and / or secondary conditions and the weighting of the individual boundary and secondary conditions by the vehicle occupant allows the personalization of the route to be specified and thus enables better coordination with the special wishes of the vehicle occupants. This leads to the determination of a travel route which is perceived as optimal by the vehicle occupant entering the boundary and / or secondary conditions and the weighting.

A cost function is advantageously set up as a function of the vehicle occupant-dependent weighting of the marginal and / or secondary conditions, by means of which the reference route is optimized while minimizing the cost function. In this way, a desired route is determined which causes the lowest costs.

In one embodiment, the weighting of the boundary and / or secondary conditions is carried out by the vehicle occupant by entering numbers from a predetermined range, which are graphically represented in a diagram, preferably a network diagram. By using numbers, a clear and clearly delimited weighting of the individual boundary and / or secondary conditions by the vehicle occupant is possible. Individual boundary and / or secondary conditions can be mutually dependent. So it is z. B. not possible to combine the fastest possible arrival and as little energy consumption as possible without compromise.

In one variant, to optimize the reference route, key figures for the boundary and / or secondary conditions are output and compared with the reference route. Deviations of the real key figures from the calculated key figures can be monitored while driving and the key figures can be recalculated in the event of larger deviations. If the boundary and / or secondary conditions change, the route recommendation is always redefined.

In one embodiment, models stored in the navigation device for individual boundary and / or secondary conditions are used for optimization. In particular, models and driving data from other vehicles can be used.

It is advantageous if the marginal and / or secondary conditions specified by the vehicle occupant include consumption and energy costs of the vehicle and / or fun factors, from which the route recommendation is determined with speed recommendations associated with specified route sections and at the same time suggestions for the driver's driving style to comply with the boundary and / or secondary conditions. The boundary and / or secondary conditions can Energy consumption, maximum travel time, energy costs, maximum solar irradiation, wind or the "fun factor" are among them. Optimizing the route recommendation, particularly with regard to energy consumption, leads to a saving in the vehicle's _{CO 2 consumption.}

In a further embodiment, several route recommendations are determined and output, which are visually, advantageously graphically, displayed on a map and stored in a personalized manner. The presentation of the route recommendations on a map enables the operator to easily decide on one of the travel routes.

Another aspect of the invention relates to a device for personalizing and optimizing a navigation route on the basis of various boundary and / or secondary conditions, in particular for electric vehicles, which use a navigation device with a computing unit to determine a route recommendation from a navigation device based on objective environmental and / or environmental conditions specific reference route and a display unit. In a device with which the personalization is improved, the computing unit is connected to a key-shaped or slider-shaped input unit for numerical input of weightings for boundary and / or secondary conditions selected by the vehicle occupant, which are shown in the display unit in a graphic diagram form , in particular a network diagram, can be displayed graphically by the vehicle occupant.

The computing unit advantageously has a memory unit in which personalized profiles with different weightings specified by vehicle occupants can be stored. In this way, route recommendations given once by a vehicle occupant can be called up again at any time.

In a further variant, the display unit displays a navigation map on which several route recommendations determined according to boundary and / or secondary conditions specified by the vehicle occupant can be visualized at the same time. The various route recommendations can visualize competing boundary and / or secondary conditions, which makes it easier for the vehicle occupant to decide on a route recommendation.

Further advantages, features and details emerge from the following description in which - possibly with reference to the drawing - at least one exemplary embodiment is described in detail. Described and / or graphically represented features can form the subject matter of the invention individually or in any meaningful combination, optionally also independently of the claims, and in particular can additionally also be the subject matter of one or more separate applications. Identical, similar and / or functionally identical parts are provided with the same reference symbols.

• 1 ein Ausführungsbeispiel der erfindungsgemäßen Vorrichtung,
• 2 ein Ausführungsbeispiel des erfindungsgemäßen Verfahrens,
• 3 ein Ausführungsbeispiel eines Netzdiagramms,
• 4 ein Ausführungsbeispiel einer Navigationskarte mit unterschiedlichen Routenempfehlungen.

Show it:

• 1 an embodiment of the device according to the invention,
• 2 an embodiment of the method according to the invention,
• 3 an embodiment of a network diagram,
• 4th an embodiment of a navigation map with different route recommendations.

In 1 an embodiment of the device according to the invention is shown. The device 1 is part of a vehicle 3 , preferably an electric vehicle, and includes a navigation device 5 , which is an arithmetic unit 7th having a memory 9 includes. The arithmetic unit 7th is with a display unit 11 tied together. In addition, it is with the arithmetic unit 7th an input unit 13th coupled, which either has buttons or is designed in the form of a slider.

• - Routen-Rand- und/oder Nebenbedingungen, wie Energiekosten (Preise für Strom an der Ladesäule, Anzahl der Ladestopps, Energieverbrauch, Reisezeit, Streckenlänge, Sonneneinstrahlung für Fahrzeug mit einem Solardach, Windinformationen (um Strecken mit viel Gegenwind zu vermeiden),
• - Spaßfaktoren:
  • wie sonnigste Strecke, schönste Strecke bzw. Strecke mit den meisten Sehenswürdigkeiten, Strecke, auf der das Fahrzeug 3 sportlich fahren kann.

Based on 2 an embodiment of the method according to the invention is explained, which with the device 1 is executable. In block 100, the driver of the vehicle gives 3 or, if the driver is not to be distracted from driving, alternatively a front passenger enters a destination in the navigation device 5 a. The navigation device 5 calculates a reference route R _Rf to the destination taking into account objective environmental and / or environmental conditions R _Fz such as traffic information, locations of the charging stations and boundary and / or secondary conditions of the vehicle 3 , such as range, energy consumption, size of the energy store, etc. Thereupon additional boundary and / or secondary conditions are queried from the vehicle occupant in block 120, which they can for example by means of the touchscreen function of the display unit 11 into the arithmetic unit 7th enters. These additional boundary and / or secondary conditions R_Fahrer_i can include:

• - Route boundary and / or secondary conditions, such as energy costs (prices for electricity at the charging station, number of charging stops, energy consumption, travel time, route length, solar radiation for a vehicle with a solar roof, wind information (to avoid routes with a lot of headwind),
• - fun factors:
  • such as the sunniest route, the most beautiful route or route with the most sights, route on which the vehicle is traveling 3 can drive sportily.

These input boundary and / or secondary conditions R_Fahrer_i are individually weighted by the inputting vehicle occupant. For this purpose, a weight is given for each boundary and / or secondary condition R_Fahrer_i G_i from a standardized range of values from, for example, 0 (low) to 10 (high). From the pairings of the boundary conditions with the respective associated weight ( F_driver_i ; G_i ) becomes a cost function in block 130 Kf set up which contains the boundary conditions according to their respective weighting.

An optimization method is then carried out in block 140, which optimizes the reference route R _Rf while minimizing the cost function Kf and consideration of the objective environmental and environmental conditions R _Fz and the boundary and / or secondary conditions R_Fahrer_i specified by the vehicle occupant are optimized. This is done in the vehicle 3 Stored models of other vehicles or models that are used on the basis of data from a fleet that have been formed, for example, with the aid of machine learning, which relate, for example, to energy consumption, solar yield and wind (block 150). The result of the optimization includes a new route as a route recommendation R _E is output, and an associated speed recommendation. About this route recommendation R _E key figures for energy consumption, travel time, solar yield, and fun factors are output, which are based on the boundary and / or secondary conditions entered F_driver_i ; G_i be compared. Examples of the key figures compared to the boundary and / or secondary conditions specified by the vehicle occupant F_driver_i ; G_i are shown in Table 1: Table 1 Input boundary and / or secondary conditions F_Fahrer_i; G_i Output key figures Energy consumption G = 10 Energy consumption 70kWh Travel time G = 8 Travel time 3, 5h Energy costs G = 3 Charging energy costs: 18 euros Solar radiation G = 1 Solar yield 300 Wh Fun factor G = 0 Route length G = 0, no specification Route length 350 km

So that the vehicle occupant also understands the used key figures, a graphic or textual or linguistic or acoustic output of driving recommendations takes place. In addition, driving recommendations can be issued that either affect the entire route or also partial sections ("Do not drive faster than 130 km / h on this section" or drive exactly 87 km / h on this section for an ideal energy balance ".

• Fahren Sie unter der Wolke 50 km/h schneller, um schneller in die Sonne zu kommen,
• Langsamer fahren, da demnächst ein Stau mit Stopp and Go ansteht, der mehr Energie verbraucht,
• Langsamer fahren, damit später Energie für die Spaß-Strecke vorhanden ist, Fahren Sie 30 km/h langsamer, damit Sie für die Spaßstrecke von 10 km Länge, auf der das Fahrzeug sportlich gefahren werden soll, ausreichend Energie vorhanden ist,

Examples for this are:

• Drive 50 km / h faster under the cloud to get into the sun faster,
• Drive slower, as there will soon be a traffic jam with stop and go that consumes more energy,
• Drive slower so that there is energy for the fun route later, drive 30 km / h slower so that you have enough energy for the fun route of 10 km length, on which the vehicle is to be driven in a sporty way,

In block 160, the driver now has the option of accepting the route with the key figures output. If he does not do this, a return is made to block 120 and the weightings from Vehicle occupants readjusted and a new optimization started. If the driver accepts the route recommendation R _E with the output key figures, the navigation is started in block 170. The route recommendation R _E be divided into several route sections, with an optimal speed being specified for each route section. However, these speeds can also be regulated using an assistance system. The output key figures are continuously monitored in block 180, with larger deviations of the calculated key figures from the real key figures being returned to block 140 and the key figures being recalculated. In block 190, the destination is reached under personalized driving conditions.

In 3 an exemplary embodiment of a network diagram is shown in which the individual marginal and / or secondary conditions R_Fahrer_i entered by the vehicle occupant as a function of the weightings G_i are visualized, with different profiles being shown. Curve A identifies boundary and / or secondary conditions for which travel time is the strongest criterion. In curve B, the energy costs have the greatest weighting. Instead of weighting G_i You can also work with physical values when outputting the key figures, such as 70 kWh. These profiles can be personalized in the vehicle 3 can be saved. Thus, when the navigation is called in block 170, a pre-created profile can be loaded. These profiles have a higher degree of personalization than those in the vehicle, for example 3 fixed profiles fast / normal / eco.

As in 4th shown, various boundary and / or constraints can be created F_driver_i in a graphic on a map of the navigation device 5 are displayed. In order to present competing requirements to the vehicle occupant, curve C is displayed, which shows all of the boundary and / or secondary conditions that have been entered F_driver_i considered. Are the weights once chosen G_i but shifted, the curves shift accordingly. Curve D characterizes the route recommendation with which the destination can be reached in the given travel time.

Curve E shows the area with the available energy of the electric vehicle 3 can be reached. In this example, in the area of the Black Forest, it becomes particularly clear how various boundary and / or secondary conditions influence the routes.Thus, the vehicle occupant can understand the result and receives a visual route presentation of partly also competing boundary and / or secondary conditions R_Fahrer_i and their effect the default route.

List of reference symbols

1

contraption

3

vehicle

5

navigation device

7th

Arithmetic unit

9

Storage

11

Display unit

13th

Input unit

RFZ

objective environmental and environmental conditions

F_driver_i

boundary and / or secondary conditions specified by vehicle occupants

G_i

Weighting of the specified boundary and / or secondary conditions

RRf

Reference route

Kf

Cost function

RE

Route recommendation

QUOTES INCLUDED IN THE DESCRIPTION

This list of the documents listed by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent literature cited

• US 2014/0222330 A1 [0002]

Claims (10)

Method for personalizing and optimizing a navigation route based on various boundary and / or secondary conditions, in particular for electric vehicles, in which the navigation route (R _Rf ) is determined at the request of a vehicle occupant and based on objective environmental and / or environmental conditions (R _Fz ) a route recommendation (R _E ) is output, characterized in that the navigation route represents a reference route (RRf) from which the route recommendation (R _E ) is derived by using the reference route (R _Rf ) specified by the vehicle occupant and by the Vehicle occupants individually weighted boundary and / or secondary conditions (F_Fahrer_i; G_i) is optimized in a personalized manner. Procedure according to Claim 1 , characterized in that a cost function (Kf) is set up as a function of the vehicle occupant-dependent weighting (G_i) of the boundary conditions (F_Fahrer_i), by means of which the reference route (R _Rf ) is optimized while minimizing the cost function (Kf). Procedure according to Claim 1 or 2 , characterized in that the weighting (G_i) of the boundary and / or secondary conditions (F_Fahrer_i) is carried out by the vehicle occupant by entering numbers from a predetermined range, which are graphically represented in a diagram, preferably a network diagram. Procedure according to Claim 1 , 2 or 3 , characterized in that when the reference route (R _Rf ) is optimized, key figures for the boundary and / or secondary conditions (F_Fahrer_i) are output and compared with the reference route (R _Rf ), with an optimal speed for each route section of the route recommendation (R _E) is specified. Method according to at least one of the preceding claims, characterized in that models stored in the navigation device (5) for individual boundary and / or secondary conditions (F_Fahrer_i) are used for optimization. Method according to at least one of the preceding claims, characterized in that the boundary and / or secondary conditions (F_Fahrer_i) specified by the vehicle occupant include consumption and energy costs of the vehicle (3) and / or fun factors from which the route recommendation (R _E ) is determined with an associated speed recommendation and at the same time suggestions for a driving style of the driver to comply with the boundary and / or secondary conditions (F_Fahrer_i) are output. Method according to at least one of the preceding claims, characterized in that a plurality of route recommendations (R _E ) are determined and output, which are displayed optically, advantageously graphically on a map, and stored in a personalized manner. Device for personalizing and optimizing a navigation route based on various boundary and / or secondary conditions, in particular for electric vehicles, which has a navigation device (5) with a computing unit (7) for determining a route recommendation (R _E ) from a navigation device (5) The reference route (R _Rf ) determined on the basis of objective environmental and / or environmental conditions (R _Fz ) and a display unit (11), characterized in that the computing unit (7) has an input unit (13) in the form of keys or sliders for numerical input of weightings (G_i) for boundary and / or secondary conditions (F_Fahrer_i) selected by the vehicle occupant is connected by the vehicle occupant, which can be graphically displayed in the display unit (11) in a diagram, preferably a network diagram, by the vehicle occupant. Device according to Claim 8 , characterized in that the computing unit (7) has a memory unit (9) in which personalized profiles of the boundary and / or secondary conditions (F_Fahrer_i) given by the vehicle occupant can be stored with different weightings (G_i) given by the vehicle occupants. Device according to Claim 8 or 9 , characterized in that the display unit (11) displays a navigation map on which several route recommendations (R _E ) determined according to boundary and / or secondary conditions (F_Fahrer_i) determined by the vehicle occupant can be visualized at the same time.

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