IP Library › Granted Patent US 10,964,214
Granted Patent B2
US 10,964,214 · App. 16/504,492 · Granted Mar 30, 2021

Optimum temperature control during parking

Inventor: Richard Wisbrun (Ottobrunn, DE)
Assignee: Bayerische Motoren Werke Aktiengesellschaft
G08G1/143B60W10/26G01C21/3469G08G1/144G08G1/146B60W2510/246
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Quick Facts
Patent No.
US 10,964,214
App. No.
16/504,492
Granted
Mar 30, 2021
Kind
B2
Abstract

A method collectively and yet individually assesses a parking area and locates a parking space which is energy-optimized with respect to a temperature control. A correspondingly equipped parking system carries out the method.

Claims (42)

1. A method for optimum climate conditioning when parking a vehicle to be parked, the method comprising:

specifying a parking area and a parking time of the vehicle to be parked;

providing parking area information to the vehicle to be parked by way of a plurality of vehicles that are in the parking area in a period that comprises the specified parking time;

receiving first vehicle parameters that describe the vehicle to be parked; receiving second vehicle parameters that describe a parked vehicle of the plurality of vehicles that are in the parking area, the second vehicle parameters of the parked vehicle being associated with the parking area information provided by the parked vehicle;

comparing at least one of the second vehicle parameters of the parked vehicle with at least one of the first vehicle parameters of the vehicle to be parked;

rating a relevance of the parking area information provided by the parked vehicle based on the comparing, such that the parking area information provided by the parked vehicle is of greater relevance when its second vehicle parameters are similar to the first vehicle parameters of the vehicle to be parked; and

selecting a parking space within the parking area based on the relevance.

2. The method according to claim 1 , wherein

a size of the parking area and/or a time period of the parking time are specified during a parking space search.

3. The method according to claim 1 , further comprising:

determining that certain parking area information is not relevant based on the comparing and the rating; and the selecting of the parking space excludes consideration of the certain parking area information.

4. The method according to claim 1 , wherein

the vehicle parameters of the vehicle to be parked and the vehicle parameters of the parked vehicle comprise one or more of:

an electric drive, an internal-combustion-engine-based drive, a state of charge, a fuel reserve, a bodywork design, a vehicle type, an external vehicle color, a vehicle paint, a roof design, a window arrangement and a stored vehicle parameter.

5. The method according to claim 4 , wherein

the parking area information comprises one or more of:

a temperature, an insolation angle, an insolation intensity, buildings, a vegetation, air flows, permanent shade providers and temporary shade providers.

6. The method according to claim 5 , wherein

the parking area information is provided based on one or more of:

an optical sensor, a temperature sensor, a wind sensor, a brightness sensor, a humidity sensor, received information and stored information.

7. The method according to claim 1 , wherein

one or more parking vehicles of the plurality of vehicles and/or the vehicle to be parked provide a vehicle identifier and/or a vehicle information number VIN.

8. The method according to claim 1 , wherein

the parking area information is classified based on at least one vehicle parameter, and

the parking space is chosen based on a relevant class of the vehicle to be parked.

9. The method according to claim 1 , wherein

the parking area information comprises one or more of:

a temperature, an insolation angle, an insolation intensity, buildings, a vegetation, air flows, permanent shade providers and temporary shade providers.

10. The method according to claim 1 , wherein

the parking area information is provided based on one or more of:

an optical sensor, a temperature sensor, a wind sensor, a brightness sensor, a humidity sensor, received information and stored information.

11. A computer product comprising a non-transitory computer readable medium having stored thereon program code operable, when executed by a processor, to:

specify a parking area and a parking time of a vehicle to be parked;

provide parking area information to the vehicle to be parked by way of a plurality of vehicles that are in the parking area in a period that comprises the specified parking time;

receive first vehicle parameters that describe the vehicle to be parked;

receive second vehicle parameters that describe a parked vehicle of the plurality of vehicles that are in the parking area, the second vehicle parameters of the parked vehicle being associated with the parking area information provided by the parked vehicle;

compare at least one of the second vehicle parameters of the parked vehicle with at least one of the first vehicle parameters of the vehicle to be parked;

rate a relevance of the parking area information provided by the parked vehicle based on the comparing such that the parking area information provided by the parked vehicle is of greater relevance when its second vehicle parameters are comparable to the first vehicle parameters of the vehicle to be parked; and

select a parking space within the parking area based on the relevance.

12. The computer program product according to claim 11 ,

wherein

the comparing indicates at least one of the first vehicle parameters of the vehicle to be parked matches at least one of the second vehicle parameters of the parked vehicle that provided the parking area information for which the selection of the parking space is based.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2019
From: WISBRUN, RICHARD
To: BAYERISCHE MOTOREN WERKE AKTIENGESELLSCHAFT
Reel/Frame 049688/0659 →
Priority Claims (1)
DE 10 2017 204 271.0 · Mar 15, 2017 · national
Continuity (2)
Continuation PCTEP2018054712 · Feb 26, 2018
Related Publication 20190333385A1 · Oct 31, 2019
Cited By (1)
US 12,370,863