US 9,810,543 B2
Method and device for carrying out travel route planning for a vehicle
Nicklas Hoch, Hannover (DE); and Bernd Werther, Braunschweig (DE)
Assigned to Volkswagen Aktiegesellschaft, Wolfsburg (DE)
Filed by Volkswagen Aktiengesellschaft, Wolfsburg (DE)
Filed on Oct. 1, 2013, as Appl. No. 14/43,348.
Application 14/043,348 is a continuation of application No. PCT/EP2012/001127, filed on Mar. 14, 2012.
Claims priority of application No. 10 2011 015 775 (DE), filed on Apr. 1, 2011.
Prior Publication US 2014/0052374 A1, Feb. 20, 2014
Int. Cl. G01C 21/34 (2006.01); G01C 21/36 (2006.01); G06Q 10/10 (2012.01); A61B 5/18 (2006.01); A61B 5/0205 (2006.01); A61B 5/021 (2006.01); A61B 5/024 (2006.01); A61B 5/0402 (2006.01); A61B 5/08 (2006.01); A61B 5/145 (2006.01)
CPC G01C 21/3469 (2013.01) [A61B 5/18 (2013.01); G01C 21/343 (2013.01); G01C 21/362 (2013.01); G06Q 10/109 (2013.01); A61B 5/021 (2013.01); A61B 5/024 (2013.01); A61B 5/0205 (2013.01); A61B 5/0402 (2013.01); A61B 5/0816 (2013.01); A61B 5/14542 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A method for carrying out travel route planning for a vehicle, the method comprising:
transmitting schedule data, which comprise geographic positions of destinations of the travel route to be planned and associated time data, to a computing unit that is coupled to a data memory, in which data based on a road network for the vehicle and data based on geographic positions of energy supply facilities are stored;
checking, via the computing unit, whether a route sequence that connects the geographic positions of the destinations associated with the schedule data is calculable, so that destinations are reached at the associated time data of the schedule data, wherein a predicted remaining amount of energy in an energy storage device of the vehicle for traveling the route sequence is determined and taken into account;
storing further data on geographic positions of parking areas comprising parking lots or energy supply facilities for the vehicle for the destinations of the route sequence in the data memory;
determining, via the computing unit in calculating a route sequence also for the destinations of a destination sequence case, parking areas assigned to the destinations at the particular destination, determining an assigned parking area for each destination of the destination sequence, wherein, in determining the distance of the parking area from an assigned destination, the geographic position of the next destination or the geographic position of the parking areas of the next destination and the predicted remaining amount of energy in the energy storage device for traveling the route sequence are taken into account, and wherein the route sequence comprises routes between parking areas of successive destinations of the destination sequence;
checking whether a route sequence connects the geographic positions of the destinations associated with the schedule data so that the destinations are reached at the associated time data of the schedule data, wherein a length of time is taken into account that the user requires to reach the destination from the parking area assigned to the destination;
determining, if no such route sequence is calculable by the computing unit, adjusted schedule data for which such a route sequence is calculable; and
outputting the adjusted schedule data,
wherein, during said checking, a probability of parking area availability at said destinations is taken into consideration,
wherein the energy supply facilities are located in the parking area at said destinations,
wherein, during said checking, time data for the destinations and a length of time for increasing energy reserves while the vehicle is at the destination is taken into consideration,
wherein said increasing energy reserves includes a possibility of ending charging of the energy storage device before the energy storage device is filled so that destinations are reached at the associated time data of the schedule data, and
wherein, during said checking, driving behavior based on historical data for a specific driver is taken into consideration, the driving behavior including historical driving speed data.