IP Library › Granted Patent US 12,370,863
Granted Patent B2
US 12,370,863 · App. 17/874,121 · Granted Jul 29, 2025

Apparatus for controlling in-car temperature of autonomous vehicle, system including the same, and method thereof

Inventor: Dong Hyuk Kim (Hanam-Si, KR)
Assignees: Hyundai Motor Company; Kia Corporation
B60H1/0073B60H1/00357B60W60/0013B60W2520/04B60W2554/20B60W2555/20B60W2556/45
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,370,863
App. No.
17/874,121
Granted
Jul 29, 2025
Kind
B2
Abstract

An apparatus, a system, and a method for controlling an in-car temperature of an autonomous vehicle are provided. The control server determines an expected in-car temperature according to a re-riding time of each of one or more parking positions corresponding to a destination or a re-riding position of an autonomous vehicle, selects an optimal parking position or a temporary parking position based on the expected in-car temperature and an outdoor air temperature according to the re-riding time, transmits information about the optimal parking position or the temporary parking position to the autonomous vehicle. The controller of the autonomous vehicle is configured to perform autonomous driving and autonomous parking depending on the information about the optimal parking position or the temporary parking position, recognizes a voice of a user, determines autonomous driving related control corresponding to the voice of the user, and performs the autonomous driving related control corresponding to the voice of the user.

Claims (49)

1. An apparatus of controlling an in-car temperature of an autonomous vehicle, the apparatus comprising:

a sensor device provided in the autonomous vehicle and configured to obtain environmental information around the autonomous vehicle, wherein the environmental information includes a position, a size, and a height about a building or an object around the autonomous vehicle;

a communication device configured with communicate with a control server; and

a controller electrically connected to the sensor device and configured to transmit the environmental information related to the autonomous vehicle to the control server through the communication device, receive information related to an optimal parking position or a temporary parking position selected based on an expected in-car temperature and an outdoor air temperature according to a re-riding time of each of one or more parking positions corresponding to a destination or a re-riding position of the autonomous vehicle from the control server, through the communication device, and perform autonomous driving and autonomous parking according to the information related to the optimal parking position or the temporary parking position,

wherein the controller is configured to:

perform autonomous exit, when an exit command is received from the control server through the communication device;

compare the expected in-car temperature and a predetermined target temperature; and

perform internal air conditioning control and control an in-car temperature based on compared result.

2. The apparatus of claim 1 , wherein the controller is configured to redetermine the expected in-car temperature according to the re-riding time, based on a time when a part or all of the autonomous vehicle is disposed in a shadow generated by a surrounding building or a surrounding object and an initial in-car temperature, when performing the autonomous driving or the autonomous parking in the optimal parking position.

3. A system for controlling an in-car temperature of an autonomous vehicle, the system comprising:

a control server configured to determine an expected in-car temperature according to a re-riding time of each of one or more parking positions corresponding to a destination or a re-riding position of the autonomous vehicle based on environmental information around the autonomous vehicle obtained by the autonomous vehicle, select an optimal parking position or a temporary parking position based on the expected in-car temperature, an outdoor air temperature according to the re-riding time, and a predetermined target temperature, and transmit information related to the optimal parking position or the temporary parking position to the autonomous vehicle; and

the autonomous vehicle including a controller configured to perform autonomous driving and autonomous parking according to the information related to the optimal parking position or the temporary parking position,

wherein the environmental information includes a position, a size, and a height about a building or an object around the autonomous vehicle,

wherein the autonomous vehicle is configured to:

perform autonomous exit, when an exit command is received from the control server;

compare the expected in-car temperature and a predetermined target temperature; and

perform internal air conditioning control and control an in-car temperature based on compared result.

4. The system of claim 3 , wherein the control server is configured to select the one or more parking positions corresponding to the destination or the re-riding position, based on a distance away from the destination or the re-riding position.

5. The system of claim 3 , wherein the control server is configured to compare a difference between the expected in-car temperature and the target temperature with a difference between an outdoor air temperature according to the re-riding time and the target temperature to select the optimal parking position or the temporary parking position.

6. The system of claim 5 , wherein the control server is configured to select a parking position having the expected in-car temperature closest to the target temperature as the optimal parking position, when there is a parking position where a value obtained by subtracting the difference between the expected in-car temperature and the target temperature from the difference between the outdoor air temperature according to the re-riding time and the target temperature is greater than a threshold.

7. The system of claim 5 , wherein the control server is configured to select the temporary parking position, based on a distance away from the destination or the re-riding position, when there is no parking position where a value obtained by subtracting the difference between the expected in-car temperature and the target temperature from the difference between the outdoor air temperature according to the re-riding time and the target temperature is greater than a threshold.

8. The system of claim 7 ,

wherein the control server is configured to select a parking position having the expected in-car temperature closest to the target temperature as the optimal parking position, when there is the parking position where the value obtained by subtracting the difference between the expected in-car temperature and the target temperature from the difference between the outdoor air temperature according to the re-riding time and the target temperature is greater than the threshold, when the autonomous vehicle is parked in the temporary parking position and configured to transmit information related to the optimal parking position to the autonomous vehicle, and

wherein the controller of the autonomous vehicle is configured to perform the autonomous driving and the autonomous parking in the optimal parking position in a state where the autonomous vehicle is parked in the temporary parking position.

9. The system of claim 3 , wherein the controller of the autonomous vehicle is configured to redetermine the expected in-car temperature according to the re-riding time, based on a time when a part or all of the autonomous vehicle is disposed in a shadow generated by a surrounding building or a surrounding object and an initial in-car temperature, when performing the autonomous driving or the autonomous parking in the optimal parking position.

10. The system of claim 9 , wherein the controller of the autonomous vehicle is configured to determine the time when the part or all of the autonomous vehicle is disposed in the shadow generated by the surrounding building or the surrounding object, based on a movement path of the sun identified based on at least one of a latitude, a longitude, an elevation angle, or an azimuth angle corresponding to a position of the autonomous vehicle.

11. The system of claim 9 , wherein the control server is configured to determine whether there is a need to change a parking position of the autonomous vehicle, based on a difference between the redetermined expected in-car temperature and the target temperature.

12. The system of claim 9 , wherein the controller of the autonomous vehicle is configured to redetermine the expected in-car temperature according to the re-riding time, with regard to at least one of a color of the autonomous vehicle, current weather, or a season.

13. The system of claim 9 ,

wherein the control server is configured to transmit the exit command to the autonomous vehicle, when a time remaining until the re-riding time reaches a predetermined specific time.

14. A method for controlling an in-car temperature of an autonomous vehicle, the method comprising:

determining, by a control server, an expected in-car temperature according to a re-riding time of each of one or more parking positions corresponding to a destination or a re-riding position of the autonomous vehicle, based on environmental information around the autonomous vehicle obtained by the autonomous vehicle;

selecting, by the control server, an optimal parking position or a temporary parking position based on the expected in-car temperature and an outdoor air temperature according to the re-riding time;

transmitting, by the control server, information related to the optimal parking position or the temporary parking position to the autonomous vehicle; and

performing, by a controller of the autonomous vehicle, autonomous driving and autonomous parking according to the information related to the optimal parking position or the temporary parking position,

wherein the environmental information includes a position, a size, and a height about a building or an object around the autonomous vehicle,

performing, by the controller, autonomous exit, when an exit command is received from the control server through the communication device;

comparing, by the controller, the expected in-car temperature and a predetermined target temperature;

performing, by the controller, internal air conditioning control and control an in-car temperature based on compared result.

15. The method of claim 14 , wherein the selecting of the optimal parking position or the temporary parking position by the control server includes:

comparing, by the control server, a difference between the expected in-car temperature and a target temperature with a difference between an outdoor air temperature according to the re-riding time and the target temperature to select the optimal parking position or the temporary parking position.

16. The method of claim 15 , wherein the comparing of the difference between the expected in-car temperature and the target temperature with the difference between the outdoor air temperature according to the re-riding time and the target temperature to select the optimal parking position or the temporary parking position by the control server includes:

selecting, by the control server, a parking position having the expected in-car temperature closest to the target temperature as the optimal parking position, when there is a parking position where a value obtained by subtracting the difference between the expected in-car temperature and the target temperature from the difference between the outdoor air temperature according to the re-riding time and the target temperature is greater than a threshold.

17. The method of claim 15 , wherein the comparing of the difference between the expected in-car temperature and the target temperature with the difference between the outdoor air temperature according to the re-riding time and the target temperature to select the optimal parking position or the temporary parking position by the control server includes:

selecting, by the control server, the temporary parking position, based on a distance away from the destination or the re-riding position, when there is no parking position where a value obtained by subtracting the difference between the expected in-car temperature and the target temperature from the difference between the outdoor air temperature according to the re-riding time and the target temperature is greater than a threshold.

18. The method of claim 15 , further including:

redetermining, by the controller of the autonomous vehicle, the expected in-car temperature according to the re-riding time, based on a time when a part or all of the autonomous vehicle is disposed in a shadow generated by a surrounding building or a surrounding object and an initial in-car temperature, when performing the autonomous driving or the autonomous parking in the optimal parking position.

19. The method of claim 18 , wherein the redetermining of the expected in-car temperature according to the re-riding time by the autonomous vehicle includes:

determining, by the controller of the autonomous vehicle, the time when the part or all of the autonomous vehicle is disposed in the shadow generated by the surrounding building or the surrounding object, based on a movement path of the sun identified based on at least one of a latitude, a longitude, an elevation angle, or an azimuth angle corresponding to a position of the autonomous vehicle.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 26, 2022
From: KIM, DONG HYUK
To: HYUNDAI MOTOR COMPANY; KIA CORPORATION
Reel/Frame 060630/0246 →
Priority Claims (1)
KR 10-2021-0159627 · Nov 18, 2021 · national
Continuity (1)
Related Publication 20230150336A1 · May 18, 2023
References Cited (19)
US 10528829B2 · Kim et al. · 2020 [cited by applicant]
US 10565877B2 · Dudar · 2020 [cited by applicant]
US 10964214B2 · Wisbrun · 2021 [cited by applicant]
US 20160221579A1 · Sasahara · 2016 [cited by examiner]
US 20170132482A1 · Kim et al. · 2017 [cited by applicant]
US 20180300676A1 · Peterson · 2018 [cited by examiner]
US 20190051155A1 · Yamaguchi · 2019 [cited by examiner]
US 20190111916A1 · Lee · 2019 [cited by examiner]
US 20190164421A1 · Lauer · 2019 [cited by examiner]
US 20190171209A1 · Lee · 2019 [cited by examiner]
US 20190299979A1 · Sadakiyo · 2019 [cited by examiner]
US 20190382001A1 · Chelian · 2019 [cited by examiner]
US 20200307559A1 · Göricke · 2020 [cited by examiner]
US 20210331701A1 · Hur · 2021 [cited by examiner]
US 20220024280A1 · Austin · 2022 [cited by examiner]
US 20220203969A1 · Hidaka · 2022 [cited by examiner]
KR 0172219B · 1999 [cited by applicant]
KR 101850795B · 2018 [cited by applicant]
KR 1020190067962A · 2019 [cited by applicant]