IP Library Granted Patent US 12,422,841
Granted Patent B2
US 12,422,841 · App. 17/218,409 · Granted Sep 23, 2025

Methods and systems for preconditioning a vehicle prior to a vehicle-sharing session

Inventors: Christian Munte (Southfield, MI); Martin Nespolo (Gross Pointe Woods, MI); Nandhinee Kandasamy (Novi, MI); Mustafa Mahmoud (Farmington, MI)
Assignees: DENSO International America, Inc.; DENSO CORPORATION
G05D1/0011B60H1/00657B60H1/00892B60R16/023B60R16/037G05B13/048G06Q30/0283G06Q50/40A61B5/6893G06Q2240/00
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Quick Facts
Patent No.
US 12,422,841
App. No.
17/218,409
Granted
Sep 23, 2025
Kind
B2
Abstract

A method of remotely activating a vehicle system of a vehicle, the vehicle being part of a vehicle-share enterprise, the method including generating a control signal based on session parameters associated with a vehicle-sharing session, preconditioning parameters associated with the vehicle-sharing session, and sensor data associated with the vehicle-sharing session, where the sensor data includes vehicle sensor data from one or more sensors of the vehicle associated with the vehicle-sharing session, client device sensor data from one or more sensors of a client device, or a combination thereof. The method includes, prior to initiating the vehicle-sharing session, broadcasting the control signal to the vehicle, where the control signal is configured to selectively control the vehicle system.

Claims (70)

1. A method of remotely activating a vehicle system of a vehicle, the vehicle being part of a vehicle-share enterprise, the method comprising:

generating a control signal based on session parameters associated with a vehicle-sharing session, preconditioning parameters associated with the vehicle-sharing session, and sensor data associated with the vehicle-sharing session, wherein the sensor data includes vehicle sensor data from one or more sensors of the vehicle associated with the vehicle-sharing session and client device sensor data from one or more sensors of a client device, said client device sensor data comprises client device location data, client device movement data and biometric data associated with a user of the client device; and

prior to initiating the vehicle-sharing session, broadcasting the control signal to the vehicle, wherein the control signal is configured to selectively control the vehicle system. the vehicle sensor data is indicative of a location of the vehicle, an orientation of the vehicle, or a combination thereof;

determining the vehicle is in an enclosed location based on a location sensor, a light sensor, an orientation sensor, an image sensor, a sound sensor, and a suspension sensor; and

the control signal includes instructions for inhibiting activating the vehicle based on determining the vehicle is in the enclosed location.

2. The method of claim 1 , wherein the session parameters include a start time of the vehicle-sharing session, an end time of the vehicle-sharing session, a monetary cost of the vehicle-sharing session, a location associated with a vehicle-sharing session request, or a combination thereof.

3. The method of claim 1 , wherein the preconditioning parameters include a setpoint temperature of the vehicle, a defrost setting of the vehicle, a seat position of the vehicle, an audio setting of the vehicle, or a combination thereof.

4. The method of claim 1 , wherein:

the vehicle sensor data is indicative of an accumulation of snow, an accumulation of ice, or a combination thereof;

the one or more sensors of the vehicle include at least one of a light sensor, a sound sensor, or a combination thereof; and

the control signal includes instructions for selectively controlling a defrost system, as the vehicle system, based on the vehicle sensor data.

5. The method of claim 1 , wherein:

the vehicle sensor data is indicative of a cabin temperature of the vehicle;

the one or more sensors of the vehicle include one or more temperature sensors; and

the control signal includes instructions for selectively controlling a climate control system, as the vehicle system, based on the vehicle sensor data.

6. The method of claim 1 , wherein:

the vehicle sensor data is indicative of a steering wheel temperature of the vehicle, a seat temperature of the vehicle, or a combination thereof;

the one or more sensors of the vehicle include one or more temperature sensors; and

the control signal includes instructions for selectively controlling a climate control system, as the vehicle system, based on the vehicle sensor data.

7. The method of claim 1 , wherein:

the vehicle sensor data is indicative of ambient air characteristics of the vehicle;

the one or more sensors of the vehicle include an air quality sensor; and

the control signal includes instructions for selectively controlling an ignition system, as the vehicle system, based on the vehicle sensor data.

8. The method of claim 1 , wherein:

the client device sensor data is indicative of a location of the client device, a speed of the client device, a direction of the client device, or a combination thereof; and

the one or more sensors of the client device include a location sensor, an accelerometer, or a combination thereof.

9. The method of claim 1 , wherein:

the client device sensor data is indicative of one or more biometrics associated with a user of the client device; and

the one or more sensors of the client device include a biometric sensor.

10. The method of claim 1 , wherein the control signal is further based on a prediction model associated with the vehicle, the client device, or a combination thereof.

11. A method of remotely activating a vehicle system of a vehicle, the vehicle being part of a vehicle-share enterprise, the method comprising:

generating a control signal based on session parameters associated with a vehicle-sharing session, preconditioning parameters associated with the vehicle-sharing session, and sensor data associated with the vehicle-sharing session, wherein the sensor data includes vehicle sensor data from one or more sensors of the vehicle associated with the vehicle-sharing session and client device sensor data from one or more sensors of a client device, said client device sensor data comprises client device location data, client device movement data and biometric data associated with a user of the client device; and

prior to initiating the vehicle-sharing session:

determining the vehicle is in an enclosed location based on a location sensor, a light sensor, an orientation sensor, an image sensor, a sound sensor, and a suspension sensor; and

broadcasting the control signal to the vehicle; and

inhibiting activating the vehicle based on determining the vehicle is in the enclosed location based on the control signal.

12. The method of claim 11 , wherein:

the session parameters include a start time of the vehicle-sharing session, an end time of the vehicle-sharing session, a monetary cost of the vehicle-sharing session, a location associated with a vehicle-sharing session request, or a combination thereof; and

the preconditioning parameters include a setpoint temperature of the vehicle, a defrost setting of the vehicle, a seat position of the vehicle, an audio setting of the vehicle, or a combination thereof.

13. The method of claim 11 , wherein:

the vehicle sensor data is indicative of an accumulation of snow, an accumulation of ice, or a combination thereof;

the one or more sensors of the vehicle include at least one of a light sensor, a sound sensor, or a combination thereof; and

the control signal includes instructions for selectively controlling a defrost system, as the vehicle system, based on the vehicle sensor data.

14. The method of claim 11 , wherein:

the vehicle sensor data is indicative of a cabin temperature of the vehicle, a steering wheel temperature of the vehicle, a seat temperature of the vehicle, or a combination thereof;

the one or more sensors of the vehicle include one or more temperature sensors; and

the control signal includes instructions for selectively controlling a climate control system, as the vehicle system, based on the vehicle sensor data.

15. The method of claim 11 , wherein:

the vehicle sensor data is indicative of ambient air characteristics of the vehicle;

the one or more sensors of the vehicle include an air quality sensor; and

the control signal includes instructions for selectively controlling an ignition system, as the vehicle system, based on the vehicle sensor data.

16. The method of claim 11 , wherein:

the client device sensor data is indicative of a location of the client device, a speed of the client device, a direction of the client device, or a combination thereof; and

the one or more sensors of the client device include a location sensor, an accelerometer, or a combination thereof.

17. A system of remotely activating a vehicle system of a vehicle, the vehicle being part of a vehicle-share enterprise, the system comprising:

a processor; and

a non-transitory computer-readable medium including machine-readable instructions that are executable by the processor, wherein the machine-readable instructions include:

generating a control signal based on session parameters associated with a vehicle-sharing session, preconditioning parameters associated with the vehicle-sharing session, and sensor data associated with the vehicle-sharing session, wherein the sensor data includes vehicle sensor data from one or more sensors of the vehicle associated with the vehicle-sharing session and, client device sensor data from one or more sensors of a client device, said client device sensor data comprises client device location data, client device movement data and biometric data associated with a user of the client device; and

prior to initiating the vehicle-sharing session:

determining the vehicle is in an enclosed location based on a location sensor, a light sensor, an orientation sensor, an image sensor, a sound sensor, and a suspension sensor; and

broadcasting the control signal to the vehicle; and

inhibiting activating the vehicle based on determining the vehicle is in the enclosed location based on the control signal.

18. The method of claim 1 where generating the control signal comprises generating the control signal from the client device movement data from an accelerometer to generate speed or directional information.

19. The method of claim 1 where generating the control signal comprises generating the control signal from the biometric data of the client comprising an electrocardiogram sensor, a photoplethysmography sensor, a body temperature sensor and combinations thereof.

20. The method of claim 11 where generating the control signal comprises generating the control signal from the location data from a location sensor.

21. The method of claim 11 where generating the control signal comprises generating the control signal from the client device movement data from an accelerometer to generate speed or directional information.

22. The method of claim 11 where generating the control signal comprises generating the control signal from the biometric data of the client comprising an electrocardiogram sensor, a photoplethysmography sensor, a body temperature sensor and combinations thereof.

23. The system of claim 17 wherein the client device sensor data comprises the location data from a location sensor.

24. The system of claim 17 wherein the client device sensor data comprises the client device movement data from an accelerometer to generate speed or directional information.

25. The system of claim 17 wherein the client device sensor data comprises the biometric data of the client from an electrocardiogram sensor, a photoplethysmography sensor, a body temperature sensor and combinations thereof.

Assignments (2)
CORRECTIVE ASSIGNMENT TO CORRECT THE FOURTH INVENTOR NAME TO MUSTAFA MAHMOUD PREVIOUSLY RECORDED ON REEL 056305 FRAME 0412. ASSIGNOR(S) HEREBY CONFIRMS THE MAHMOUD, MUSTAFA. Recorded May 24, 2021
From: MUNTE, CHRISTIAN; NESPOLO, MARTIN; KANDASAMY, NANDHINEE; MAHMOUD, MUSTAFA
To: DENSO INTERNATIONAL AMERICA, INC.; DENSO CORPORATION
Reel/Frame 056339/0178 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 20, 2021
From: MUNTE, CHRISTIAN; NESPOLO, MARTIN; KANDASAMY, NANDHINEE; MAH, MUSTAFA
To: DENSO INTERNATIONAL AMERICA, INC.; DENSO CORPORATION
Reel/Frame 056305/0412 →
Continuity (2)
Provisional Application 63055527 · Jul 23, 2020
Related Publication 20220026898A1 · Jan 27, 2022
References Cited (34)
US 9428034B2 · Yang · 2016 [cited by examiner]
US 10299520B1 · Shaffer · 2019 [cited by examiner]
US 10554759B2 · Penilla et al. · 2020 [cited by applicant]
US 11481819B2 · Igata · 2022 [cited by examiner]
US 20080117079A1 · Hassan · 2008 [cited by examiner]
US 20140222253A1 · Siegel · 2014 [cited by examiner]
US 20170028949A1 · Nelson · 2017 [cited by examiner]
US 20170061508A1 · Sen · 2017 [cited by examiner]
US 20170139384A1 · Takeuchi · 2017 [cited by examiner]
US 20170190318A1 · Imamura · 2017 [cited by examiner]
US 20170210201A1 · Green · 2017 [cited by examiner]
US 20170253201A1 · Maeshiro · 2017 [cited by examiner]
US 20180045474A1 · Yoshikawa · 2018 [cited by examiner]
US 20180136656A1 · Rasmusson, Jr. · 2018 [cited by examiner]
US 20180137593A1 · Djuric · 2018 [cited by examiner]
US 20180178797A1 · Seaman · 2018 [cited by examiner]
US 20180218470A1 · Belwafa · 2018 [cited by examiner]
US 20180266834A1 · Cronin · 2018 [cited by examiner]
US 20180342035A1 · Sweeney · 2018 [cited by examiner]
US 20190089194A1 · Okita · 2019 [cited by examiner]
US 20190164421A1 · Lauer · 2019 [cited by examiner]
US 20190168584A1 · Seiferlein · 2019 [cited by examiner]
US 20190215370A1 · Granda · 2019 [cited by examiner]
US 20190390867A1 · Lee · 2019 [cited by examiner]
US 20200062076A1 · Elson · 2020 [cited by examiner]
US 20200150646A1 · Sugimoto · 2020 [cited by examiner]
US 20200269809A1 · Sanji · 2020 [cited by examiner]
US 20200283000A1 · Schön · 2020 [cited by examiner]
US 20200393573A1 · Solin · 2020 [cited by examiner]
US 20210001806A1 · Kim · 2021 [cited by examiner]
US 20210061202A1 · Ye · 2021 [cited by examiner]
US 20210140670A1 · Matsuura · 2021 [cited by examiner]
US 20210164676A1 · Huang · 2021 [cited by examiner]
EP 3163068 · 2018 [cited by applicant]