CN-121995243-A - Sleep state consumption estimation for vehicles

Abstract

Sleep state power consumption estimates for a vehicle are provided. The electric vehicle may include an Electronic Control Unit (ECU). The ECU may enter a sleep state in response to the electric vehicle entering a sleep mode and enter an operational state from the sleep state in response to the electric vehicle exiting the sleep mode. The ECU may determine a remaining range estimate for the vehicle based on the range loss estimate corresponding to the estimated power consumption during the sleep mode. In some implementations, the electric vehicle includes a sensor, and the ECU may obtain sensor data indicative of a power consumption measurement during a sleep mode of the electric vehicle from which a remaining range estimate may be determined. In other implementations, the ECU may determine the remaining range estimate based on a predetermined sleep state power consumption rate and duration of the sleep mode without active hardware monitoring.

Inventors

• S. K. Sugatapara
• K. Lobo
• WANG BAOJIN
• L.P.Huang
• A. KUMAR

Assignees

• 瑞维安知识产权控股有限责任公司

Dates

Publication Date

20260508

Application Date

20251104

Priority Date

20250409

Claims (20)

1. 1. An electronic control unit for a vehicle, the electronic control unit comprising: one or more processing cores, and Wherein the one or more processing cores are configured to: A sleep state is entered in response to the vehicle entering a sleep mode, Entering an operational state from the sleep state in response to the vehicle exiting the sleep mode, and A remaining mileage estimate of the vehicle is determined based on a mileage loss estimate corresponding to an estimated power consumption during the sleep mode.
2. 2. The electronic control unit of claim 1, wherein the one or more processing cores are configured to: obtaining sensor data from one or more sensors of the vehicle indicative of power consumption measurements during the sleep mode of the vehicle, and The mileage loss estimation value corresponding to the power consumption measurement value is determined based on the sensor data.
3. 3. The electronic control unit of claim 2, wherein the one or more processing cores are configured to provide the remaining range estimate of the vehicle to a user's device in response to determining the range loss estimate.
4. 4. The electronic control unit of claim 2, wherein the one or more sensors comprise a power sensor.
5. 5. The electronic control unit of claim 1, wherein the one or more processing cores are configured to provide the remaining range estimate for display upon detection of an active driving state of the vehicle.
6. 6. The electronic control unit of claim 1, wherein the one or more processing cores are further configured to: Obtaining a first coulomb count measurement at a first location between the high-voltage battery and the vehicle power load using a first sensor of the plurality of sensors, and Obtaining a second coulomb count measurement at a second location between the battery and the vehicle power load using a second sensor of the plurality of sensors, Wherein the mileage loss estimation value is determined using the first coulomb count measurement value and the second coulomb count measurement value.
7. 7. The electronic control unit of claim 6, wherein the one or more processing cores configured to obtain the first coulomb count measurement are further configured to obtain sensor data from the first sensor located at an output of a secondary power converter connected to an output of the high-voltage battery.
8. 8. The electronic control unit of claim 6, wherein the one or more processing cores configured to obtain the first coulomb count measurement are further configured to obtain sensor data from the first sensor located at an input of a secondary power converter connected to an output of the high-voltage battery.
9. 9. The electronic control unit of claim 1, wherein the remaining range estimate is determined based on a predetermined sleep state power consumption rate and a duration of the sleep mode, wherein the one or more processing cores are configured to: Determining a state of charge of a battery of the vehicle in response to the vehicle entering an active driving state after the vehicle exits the sleep mode; modifying the remaining range estimate to an updated remaining range estimate based on the state of charge of the battery, and Providing the updated remaining range estimate for display.
10. 10. The electronic control unit of claim 9, wherein the one or more processing cores are configured to determine an updated mileage penalty estimation value based on the updated remaining mileage estimation value.
11. 11. The electronic control unit of claim 10, wherein the one or more processing cores are configured to update the predetermined sleep state power consumption rate using the updated mileage loss estimation value.
12. 12. The electronic control unit of claim 11, wherein the predetermined sleep state power consumption rate is iteratively updated after each update of the mileage loss estimation value.
13. 13. A method, the method comprising: Setting one or more processing cores of an electronic control unit of a vehicle to a sleep state in response to the vehicle entering a sleep mode; performing coulomb counting using one or more sensors to monitor state of charge loss during the sleep mode of the vehicle; Waking the one or more processing cores from the sleep state to an operational state in response to the vehicle exiting the sleep mode, and A mileage loss estimate corresponding to the state of charge loss during the sleep mode of the vehicle is determined by the one or more processing cores based on the coulomb count.
14. 14. The method of claim 13, the method further comprising: sensor data indicative of a power consumption measurement during the sleep mode of the vehicle is obtained from the one or more sensors, wherein the mileage loss estimate corresponds to the power consumption measurement.
15. 15. The method of claim 13, the method further comprising: Determining, by the one or more processing cores, a remaining range estimate based on the range loss estimate, and The remaining range estimate is provided for display upon detection of an active driving state of the vehicle.
16. 16. The method of claim 13, wherein performing the coulomb count comprises: Obtaining a first coulomb count measurement at a first location between the high-voltage battery and the vehicle power load using a first sensor of the plurality of sensors, and Obtaining a second coulomb count measurement at a second location between the battery and the vehicle power load using a second sensor of the plurality of sensors, Wherein the mileage loss estimation value is determined using the first coulomb count measurement value and the second coulomb count measurement value.
17. 17. The method of claim 16, wherein obtaining the first coulomb count measurement comprises obtaining sensor data from the first sensor located at an output of a secondary power converter connected to an output of the high-voltage battery.
18. 18. The method of claim 16, wherein obtaining the first coulomb count measurement comprises obtaining sensor data from the first sensor located at an input of a secondary power converter connected to an output of the high-voltage battery.
19. 19. An electric vehicle, the electric vehicle comprising: an electronic control unit, the electronic control unit comprising: one or more processing cores, and Wherein the one or more processing cores are configured to: Entering a sleep state in response to the electric vehicle entering a sleep mode; Entering an operational state from the sleep state in response to the electric vehicle exiting the sleep mode; Determining a remaining mileage estimate based on a predetermined sleep state power consumption rate and a duration of the sleep mode; Determining a state of charge of a battery of the electric vehicle in response to the electric vehicle entering an active travel state after the electric vehicle exits the sleep mode; modifying the remaining range estimate to an updated remaining range estimate based on the state of charge of the battery, and Providing the updated remaining range estimate for display.
20. 20. The electric vehicle of claim 19, wherein the one or more processing cores are further configured to: Modifying the mileage loss estimate to an updated mileage loss estimate based on the updated remaining mileage estimate, and Updating the predetermined sleep state power consumption rate using the updated mileage loss estimation value, Wherein the predetermined sleep state power consumption rate is iteratively updated after each update of the mileage loss estimation value.

Description

Sleep state consumption estimation for vehicles Cross Reference to Related Applications The present application claims the benefit of U.S. provisional application serial No. 63/717,751, entitled "SLEEP STATE CONSUMPTION ESTIMATION FOR VEHICLES (estimation of sleep state consumption of vehicle)" filed on 7, 11, 2024, the disclosure of which is expressly incorporated herein by reference in its entirety. Background Vehicles are often provided with sensors for sensing aspects of vehicle operation and/or conditions during operation of the vehicle. These sensors are typically disabled or turned off when the vehicle is not in operation. Drawings Certain features of the subject technology are set forth in the following claims. However, for purposes of explanation, several embodiments of the subject technology are set forth in the following figures. Fig. 1A and 1B illustrate schematic perspective side views of example implementations of a vehicle according to one or more implementations. Fig. 2 depicts a view of an example of a power system architecture that may be included in the vehicle of fig. 1A and 1B, according to one or more implementations. FIG. 3 is a flowchart of exemplary operations that may be performed to make sensor-based sleep state consumption estimates for a vehicle in accordance with one or more implementations. FIG. 4 is a flowchart of exemplary operations that may be performed to make a self-learning sleep state consumption estimate for a vehicle in accordance with one or more implementations. FIG. 5 illustrates an electronic system with which one or more implementations of the subject technology may be implemented. Detailed Description The detailed description set forth below is intended as a description of various configurations of the subject technology and is not intended to represent the only configurations in which the subject technology may be practiced. The accompanying drawings are incorporated in and constitute a part of this detailed description. The detailed description includes specific details for the purpose of providing a thorough understanding of the subject technology. However, the subject technology is not limited to the specific details set forth herein and may be practiced using one or more other implementations. Structures and components are shown in block diagram form in order to avoid obscuring the concepts of the subject technology. Vehicles are typically parked in parking lots, garages, and along streets, sometimes for hours or days at a time. Parked vehicles are typically in a closed or sleep state in which most, if not all, of the mechanical or electrical systems of the vehicle are also closed or in a standby state. This may reduce the power consumed when the vehicle is in a sleep or off state, which may be particularly beneficial for electrically propelled electric vehicles. However, it may be advantageous to be able to monitor various systems and/or characteristics of the vehicle even when the vehicle is in a closed or sleep state. As one illustrative example, it may be beneficial to continuously monitor the battery of the vehicle while in sleep mode to detect power consumption, as inaccurate remaining mileage estimates may be obtained while awake if not monitored, which may cause inconvenience and mileage anxiety to the user. The subject technology addresses challenges related to the lack of an active system to monitor power consumption and estimate mileage loss during a vehicle sleep mode. An embodiment of the subject technology allows for integration of hardware sensors (e.g., power sensor integrated circuits) into the architecture of a vehicle to continuously monitor power consumption in sleep mode. The sensor may measure power consumption during sleep modes of the vehicle, thereby improving accuracy of mileage estimation when the vehicle is in an awake state. Aspects of the subject technology may provide for monitoring (e.g., for power consumption) in a vehicle (e.g., in a vehicle battery or battery pack) while the vehicle is in a sleep mode. The monitoring may be performed by switching one or more processing cores of an Electronic Control Unit (ECU) of the vehicle to an operational or awake state to obtain and analyze sensor data. Embodiments of the subject technology also allow for a predetermined sleep state power consumption rate (e.g., 10 watts per hour) of a High Voltage (HV) battery to be set at the beginning of vehicle sleep without active hardware monitoring. During this sleep state period, all processing cores, including all Electronic Control Units (ECUs), may become inactive, resulting in hardware being unable to track mileage loss. The one or more processing cores of the ECU in the run state (or awake state) may calculate mileage loss over the entire sleep duration based on a predetermined sleep state power consumption rate. Upon transition to the awake state, estimated mileage penalty may be applied, providing a worst-case (or conservative estimate