Vehicle monitoring of mobile device state-of-charge

Information

  • Patent Grant
  • 10578676
  • Patent Number
    10,578,676
  • Date Filed
    Tuesday, November 28, 2017
    6 years ago
  • Date Issued
    Tuesday, March 3, 2020
    4 years ago
Abstract
Method and apparatus are disclosed for vehicle monitoring of mobile device state-of-charge. An example vehicle includes a communication node, a charging station, and a controller. The controller is to receive, via the communication node, a state-of-charge (SOC) of a mobile device and determine a predicted SOC at a destination based on the SOC, a rate-of-change of the SOC, and a travel time to the destination. The controller also is to emit, responsive to the predicted SOC being less than a threshold, an instruction to couple the mobile device to the charging station.
Description
TECHNICAL FIELD

The present disclosure generally relates to vehicle monitoring and, more specifically, to vehicle monitoring of mobile device state-of-charge.


BACKGROUND

Recently, vehicles include systems that incorporate mobile devices for control features of vehicle functions. Some vehicles include a passive entry system that unlocks and/or opens door(s) of the vehicle upon detecting that a mobile device of a user is near the vehicle. Some vehicles include a passive start system that enables ignition of a vehicle engine upon detecting that a mobile device of a user is within a cabin of the vehicle. Some vehicles include a remote park-assist system in which a mobile device is used to initiate and/or control autonomous and/or semi-autonomous parking of the vehicle in a parking spot while a user of the mobile device is located outside of a cabin of the vehicle.


SUMMARY

The appended claims define this application. The present disclosure summarizes aspects of the embodiments and should not be used to limit the claims. Other implementations are contemplated in accordance with the techniques described herein, as will be apparent to one having ordinary skill in the art upon examination of the following drawings and detailed description, and these implementations are intended to be within the scope of this application.


Example embodiments are shown for vehicle monitoring of mobile device state-of-charge. An example disclosed vehicle includes a communication node, a charging station, and a controller. The controller is to receive, via the communication node, a state-of-charge (SOC) of a mobile device and determine a predicted SOC at a destination based on the SOC, a rate-of-change of the SOC, and a travel time to the destination. The controller also is to emit, responsive to the predicted SOC being less than a threshold, an instruction to couple the mobile device to the charging station.


In some examples, the communication node is a wireless personal area network module. In some examples, the controller determines the rate-of-change of the mobile device by monitoring the SOC over a period of time. In some examples, the controller receives the rate-of-change from the mobile device via the communication node.


Some examples further include a navigation system that receives the destination from a user and determines the travel time between the destination and a current location. Some such examples further include at least one of a GPS receiver and a GNSS receiver to identify the current vehicle location.


Some examples further include an infotainment head unit that includes at least one of a cluster output, a display, and a speaker. The controller emits the instruction via the infotainment head unit.


In some examples, the controller determines the predicted SOC responsive to identifying that the mobile device is located within a vehicle cabin. In some such examples, the communication node identifies whether the mobile device is located within the vehicle cabin via at least one of a received signal strength indicator, a time-of-flight, and an angle-of-arrival.


In some examples, the controller determines the predicted SOC responsive to identifying that the mobile device is utilized for at least one of passive entry, passive start, and remote park-assist. In some examples, the controller further emits the instruction responsive to determining that the SOC is less than a second threshold. In some examples, the controller further emits the instruction responsive to determining that the rate-of-change is greater than a third threshold.


An example disclosed method includes receiving a state of charge (SOC) of a mobile device via a communication node of a vehicle and determining, via a processor, a predicted SOC at a destination of the vehicle based on the SOC, a rate of change of the SOC, and a travel time to the destination. The example disclosed method also includes emitting an instruction to couple the mobile device to the charging station responsive to the predicted SOC being less than a threshold.


Some examples further include emitting the instruction responsive to determining, via the processor, that the SOC is less than a second threshold.


An example disclosed system includes a mobile device that includes a sensor to measure a state of charge (SOC) and a communication module to send the SOC. The example disclosed system also includes a vehicle that includes a communication node to receive the SOC, a charging station, and a controller. The controller is to determine a predicted SOC based on the SOC, a rate-of-change, and a travel time to a destination and instruct to utilize the charging station when the predicted SOC is less than a threshold.


In some examples, the mobile device further includes a navigation system that receives the destination from a user and determines the travel time between the destination and the current location.


In some examples, the mobile device includes a processor that identifies when the mobile device is communicatively decoupled from the vehicle. In some such examples, when the mobile device and the vehicle are communicatively decoupled, the processor emits at least one of an audio alert, a visual alert, and a haptic alert in response to determining that the SOC is less than a second threshold. In some such examples, when the mobile device and the vehicle are communicatively decoupled, the processor is to determine whether the SOC is less than a second threshold. The processor also is to identify, in response to determining that the SOC is less than the second threshold, an open public charging station from an external network and provide directions to the open public charging station. In some such examples, when the mobile device and the vehicle are communicatively decoupled, the processor turns off the mobile device in response to determining that the SOC is less than a third threshold.





BRIEF DESCRIPTION OF THE DRAWINGS

For a better understanding of the invention, reference may be made to embodiments shown in the following drawings. The components in the drawings are not necessarily to scale and related elements may be omitted, or in some instances proportions may have been exaggerated, so as to emphasize and clearly illustrate the novel features described herein. In addition, system components can be variously arranged, as known in the art. Further, in the drawings, like reference numerals designate corresponding parts throughout the several views.



FIG. 1A illustrates an example mobile device of a user within an example vehicle in accordance with the teachings herein.



FIG. 1B the mobile device outside of the vehicle of FIG. 1A.



FIG. 2 is a block diagram of electronic components of the mobile device of FIGS. 1A-1B.



FIG. 3 is a block diagram of electronic components of the vehicle of FIGS. 1A-1B.



FIG. 4 is a flowchart for monitoring a state-of-charge of a mobile device communicatively coupled to a vehicle in accordance with the teachings herein.





DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

While the invention may be embodied in various forms, there are shown in the drawings, and will hereinafter be described, some exemplary and non-limiting embodiments, with the understanding that the present disclosure is to be considered an exemplification of the invention and is not intended to limit the invention to the specific embodiments illustrated.


Vehicles oftentimes include systems that incorporate mobile devices for control features of vehicle functions. Some vehicles include a passive entry system that unlocks and/or opens door(s) of the vehicle upon detecting that a mobile device of a user is near the vehicle. Some vehicles include a passive start system that enables ignition of a vehicle engine upon detecting that a mobile device of a user is within a cabin of the vehicle. Some vehicles include a remote park-assist system in which a mobile device is used to initiate and/or control autonomous and/or semi-autonomous parking of the vehicle in a parking spot while a user of the mobile device is located outside of a cabin of the vehicle.


Mobile devices have been incorporated into the performance of such commonly-performed vehicle functions over time, at least in part, because people use their mobile devices (e.g., smart phones, wearables, smart watches, tablets, etc.) today at ever-increasing frequencies. While the utilization of mobile devices to access, start, and park a vehicle has made it easier for people to operate their vehicles, the convenience of the mobile device potentially may present challenges to the performance of such vehicle functions. For instance, consistent use of mobile device throughout the day potentially may result in a user unknowingly draining his or her battery to be fully discharged. If the battery is fully discharged, the vehicle system is unable to use the mobile device for accessing, starting, and/or parking the vehicle. Further, some mobile device disable power-consuming functions, such as Bluetooth® or Wi-Fi, when a state-of-charge of the mobile device battery is below a lower threshold to preserve the state-of-charge battery for other mobile device functions (e.g., phone calls). In such instances, the user may be unable to utilize the mobile device for passive start, passive entry, and/or remote park-assist if the user is unaware that the mobile device has disabled the power-consuming communication functions (e.g., Bluetooth®, Wi-Fi, NFC) as a result of the state-of-charge of the mobile device battery being below the lower threshold. Example methods and apparatus disclosed herein monitor a state-of-charge of a mobile device battery over time and perform measures to facilitate recharging of the battery to prevent the battery from being discharged below a threshold state-of-charge level when passive entry, passive start, and/or remote park-assist functions is to be performed.


Examples disclosed herein include a system for monitoring a mobile device that is utilized for remote park-assist and/or as a phone-as-a-key for passive entry and/or passive start. As used herein, “remote parking,” “vehicle remote park-assist,” “remote park-assist,” and “RePA” refer to a vehicle controlling motive functions of the vehicle without direct steering or velocity input from a driver to autonomously park the vehicle into a parking spot while the driver is located outside of the vehicle. For example, a remote park assist-system of an autonomy unit controls the motive functions of the vehicle upon initiation from a driver to remotely park the vehicle into a parking spot.


As used herein, a “phone-as-a-key” refers to a mobile device (e.g., a smart phone, a wearable, a smart watch, a tablet, etc.) that includes hardware and/or software to function as a key fob. As used herein, a “key fob” refers to an electronic device that wirelessly communicates with a vehicle to unlock and/or lock one or more vehicle doors, open and/or close one or more of the vehicle doors, activate an engine of the vehicle, and/or initiate other function(s) of the vehicle. A user of a vehicle may utilize a mobile device functioning as a phone-as-a-key and/or a key fob for passive entry and/or passive start.


As used herein, “passive entry” refers to a system of a vehicle that unlock(s) and/or open(s) one or more doors of the vehicle upon detecting that a key fob and/or a phone-as-a-key is proximate to and/or approaching the vehicle. Some passive entry systems unlock and/or open a door in response to detecting a key fob and/or a phone-as-a-key. Further, some passive entry systems trigger a door for opening in response to detecting a key fob and/or a phone-as-a-key such that the door unlocks upon detecting that a user has touched a handle of the door. As used herein, “passive start” refers to a system of a vehicle that activates ignition of an engine of the vehicle upon detecting that a key fob and/or a phone-as-a-key is within a cabin of the vehicle. Some passive start systems activate ignition of the engine in response to detecting a key fob and/or a phone-as-a-key. Further, some passive start systems trigger an engine for ignition in response to detecting a key fob and/or a phone-as-a-key such that the ignition of the engine is started when an ignition switch within the cabin of the vehicle is pressed and/or rotated.


The system of examples disclosed herein measures the state-of-charge and a rate-of-change (ROC) of the mobile device and determines a predicted state-of-charge of the battery for an end of a vehicle trip. As used herein, a “charge level,” a “state-of-charge,” and an “SOC” refer to a measurement of an amount of energy stored within a battery. As used herein, a “rate-of-change” and a “ROC” of a battery refer to a rate at which a state-of-charge changes over a period of time.


The system of examples disclosed herein determines the predicted state-of-charge of the mobile device based on the current state-of-charge, the rate-of-change, and/or navigation information of a navigation system of the vehicle and/or the mobile device. For example, the system continuously monitors usage demands (i.e. movies and music streaming, calls, hotspot. etc.) of a state-of-charge of a battery of the mobile device and monitors for rate-of-change updates to update a predicated state-of-charge. The system may emit an in-vehicle alert to instruct a user to charge the mobile device upon detecting that (i) predicted state-of-charge is below a first charge threshold, (ii) the current state-of-charge is below a second charge threshold, or (iii) the rate-of-change is above a rate threshold. Further, upon detecting that the user has exited the vehicle with the mobile device, the system may provide (i) an alert via an output device of the mobile device, (ii) directions to publically-available charging station(s), and/or (iii) instructions to turn off the mobile device in response to determining that the current state-of-charge of the mobile device is below a charge threshold.


Turning to the figures, FIGS. 1A-1B illustrate an example vehicle 100 in accordance with the teachings herein. More specifically, FIG. 1A depicts the vehicle 100 when a mobile device 102 (e.g., a smart phone, a wearable, a smart watch, a tablet, etc.) of a user 104 is located within a cabin 106 of the vehicle 100, and FIG. 1B depicts the vehicle 100 when the mobile device 102 of the user 104 is located outside of the cabin 106.


The vehicle 100 of the illustrated example may be a standard gasoline powered vehicle, a hybrid vehicle, an electric vehicle, a fuel cell vehicle, and/or any other mobility implement type of vehicle. The vehicle 100 includes parts related to mobility, such as a powertrain with an engine, a transmission, a suspension, a driveshaft, and/or wheels, etc. The vehicle 100 may be non-autonomous, semi-autonomous (e.g., some routine motive functions controlled by the vehicle 100), or autonomous (e.g., motive functions are controlled by the vehicle 100 without direct driver input).


As illustrated in FIGS. 1A-1B, the vehicle 100 includes communication nodes 108. In the illustrated example, each of the communication nodes 108 is configured to communicatively couple to the mobile device 102 of the user 104 (e.g., an occupant of the vehicle 100). Each of the communication nodes 108 includes hardware and firmware to establish a wireless connection with a key fob and/or a mobile device (e.g., the mobile device 102). For example, the communication nodes 108 are wireless personal area network (WPAN) modules that wirelessly communicate with key fob(s) and/or mobile device(s) (e.g., the mobile device 102) via short-range wireless communication protocol(s). In some examples, the communication nodes 108 implement the Bluetooth® and/or Bluetooth® Low Energy (BLE®) protocols. The Bluetooth® and BLE® protocols are set forth in Volume 6 of the Bluetooth® Specification 4.0 (and subsequent revisions) maintained by the Bluetooth® Special Interest Group. Additionally or alternatively, the communication nodes 108 are configured to wirelessly communicate via Wi-Fi®, Near Field Communication (NFC), UWB (Ultra-Wide Band), and/or any other short-range and/or local wireless communication protocol (e.g., IEEE 802.11 a/b/g/n/ac/p) that enables each of the communication nodes 108 to communicatively couple to the mobile device 102.


The communication nodes 108 of the illustrated example include a communication node 108a (e.g., a first communication node), a communication node 108b (e.g., a second communication node), a communication node 108c (e.g., a third communication node), a communication node 108d (e.g., a fourth communication node), a communication node 108e (e.g., a fifth communication node), and a communication node 108f (e.g., a sixth communication node). The communication nodes 108a, 108b, 108c, 108d are exterior nodes 110 of the communication nodes 108. The exterior nodes 110 are positioned and oriented to communicatively couple to and/or monitor communication of the mobile device 102 and/or a key fob when the mobile device 102 and/or the key fob is located outside of and/or within the cabin 106 of the vehicle 100. For example, each of the communication nodes 108a, 108b, 108c, 108d is located near an exterior of the vehicle 100 and oriented in a direction away from the cabin 106 to communicatively couple to the mobile device 102 when the mobile device 102 is outside of the cabin 106 of the vehicle 100. The communication nodes 108e, 108f are interior nodes 112 of the communication nodes 108. The interior nodes 112 are positioned and oriented to communicatively couple to and/or monitor communication of the mobile device 102 and/or a key fob when the mobile device 102 and/or the key fob is located within and/or outside of the cabin 106 of the vehicle 100. For example, the communication node 108e is located near and oriented toward a front portion of the cabin 106 to communicatively couple to and/or monitor communication of the mobile device 102 and/or a key fob when the mobile device 102 and/or the key fob is located within the front portion of the cabin 106. Further, the communication node 108f is located near and oriented toward a rear portion of the cabin 106 to communicatively couple to and/or monitor communication of the mobile device 102 and/or a key fob when the mobile device 102 and/or the key fob is located within the rear portion of the cabin 106.


The vehicle 100 also includes a charging station 114 that is located within the cabin 106. In other examples, the charging station 114 is located along an exterior of the vehicle 100. The charging station 114 may include a wired charger and/or a wireless charger. For example, a wired charger of the charging station 114 includes a socket (e.g., a 12 Volt socket), a plug that is configured to be inserted into the socket, and/or a wire that extends from the socket and/or the plug and is configured to couple to the mobile device 102 to recharge a battery of the mobile device 102 (e.g., a battery 212 of FIG. 2). A wireless charger of the charging station 114 includes, for example, a charging coil that induces a magnetic field. When the mobile device 102 is placed on and/or near the charging station 114, the magnetic field induced by the charging coil generates current within another charging coil of the mobile device 102 to recharge the battery of the mobile device 102.


Further, the vehicle 100 of the illustrated example includes a vehicle speed sensor 116, a global positioning system (GPS) receiver 118, and a navigation system 120. For example, the vehicle speed sensor 116 detects a speed at which the vehicle 100 is traveling. In some examples, by measuring the speed of the vehicle 100 over a period of time, the vehicle 100 detects an acceleration of the vehicle 100. Additionally, the GPS receiver 118 receives a signal from a global positioning system to identify a current location of the vehicle 100. Additionally or alternatively, the vehicle 100 includes a global navigation satellite system (GNSS) receiver to receives a signal from a global navigation satellite system to identify a current location of the vehicle 100. The navigation system 120 is an electronic system that facilitates the user 104 in navigating while the user 104 and/or another user operates the vehicle 100. For example, the navigation system 120 presents map(s), provides direction(s), and/or identifies traffic condition(s) and/or obstacle(s) to facilitate the user 104 in navigating from a current location of the vehicle 100 to a target destination.


As illustrated in FIG. 1, the vehicle 100 also includes an infotainment head unit 122 that provides an interface between the vehicle 100 and the user 104. The infotainment head unit 122 includes digital and/or analog interfaces (e.g., input devices and output devices) to receive input from and display information for the user 104. The input devices include, for example, a control knob, an instrument panel, a digital camera for image capture and/or visual command recognition, a touchscreen, an audio input device (e.g., cabin microphone), buttons, or a touchpad. The output devices may include a cluster output 124 (e.g., a dial, a lighting device), an actuator, a display 126 (e.g., a heads-up display, a center console display such as liquid crystal display (LCD), an organic light emitting diode (OLED) display, a flat panel display, a solid state display, etc.), and/or speakers 128. In some examples, the display 126 is a touchscreen that is configured to function as input device and an output device. Further, in the illustrated example, the infotainment head unit 122 includes hardware (e.g., a processor or controller, memory, storage, etc.) and software (e.g., an operating system, etc.) for an infotainment system (such as SYNC® and MyFord Touch® by Ford®, etc.). Additionally, the infotainment head unit 122 displays the infotainment system, the navigation system 120, and/or other user interface system(s) on, for example, the display 126.


The vehicle 100 also includes a charge controller 130 that monitors the mobile device 102 and provides instructions to the user 104 to recharge the mobile device 102 to prevent a battery (e.g., a battery 212 of FIG. 2) from being fully discharged when the mobile device 102 is to be utilized for passive entry, passive start, remote park-assist, and/or other vehicle functions of the vehicle 100. For example, charge controller 130 monitors the battery of the mobile device 102 (e.g., collects a state-of-charge, identifies a rate-of-change, determines a predicted state-of-change at a destination) in response to identifying that the mobile device 102 is configured to be utilized for passive entry, passive start, and/or remote park-assist of the vehicle 100.


In operation, the charge controller 130 determines whether the mobile device 102 is located within the cabin 106 of the vehicle 100. The charge controller 130 determines whether the mobile device 102 is located within the cabin 106 via received signal strength indicators, GPS, time-of-flight, angle-of-arrival, etc. For example, the charge controller 130 determines that the mobile device 102 is located within the cabin 106 if the received signal strength indicators of communication between the mobile device 102 and the interior nodes 112 is greater than the received signal strength indicators of communication between the mobile device 102 and the exterior nodes 110. In such examples, the charge controller 130 determines that the mobile device 102 is located outside of the vehicle 100 if the received signal strength indicators of communication between the mobile device 102 and the exterior nodes 110 is greater than the received signal strength indicators of communication between the mobile device 102 and the interior nodes 112. If the mobile device 102 is within the cabin 106 of the vehicle 100, the charge controller 130 determines whether to instruct the user 104 to couple the mobile device 102 to the charging station 114 of the vehicle 100.


To monitor the mobile device 102, the charge controller 130 receives a current state-of-charge of the battery of the mobile device 102 via one or more of the communication nodes 108 of the vehicle 100. The charge controller 130 also is configured to identify a rate-of-change of the state-of-charge of the mobile device 102. In some examples, the charge controller 130 determines the rate-of-change by monitoring the state-of-charge of the battery 212 over a period of time. In other examples, the charge controller 130 receives the rate-of-change from the mobile device 102 via one or more of the communication nodes 108.


Further, in some examples, the charge controller 130 identifies a travel time to a target destination of the vehicle 100. For example, the charge controller 130 receives the travel time that is determined by the navigation system 120 of the vehicle 100. The navigation system 120 determines the travel time to the target destination based upon a current location of the vehicle 100 and a location of the target destination. For example, the navigation system collects the current location of the vehicle 100 from the GPS receiver 118 and/or the GNSS receiver and receives the target destination from the user 104 via an input device of the infotainment head unit 122 and/or the mobile device 102 in communication with the vehicle 100.


Subsequently, the charge controller 130 determines a predicted state-of-charge of the battery of the mobile device 102 for when the vehicle 100 arrives at the target destination. For example, the charge controller 130 determines the predicted state-of-charge of the mobile device 102 based upon the current state-of-charge of the mobile device 102, the rate-of-change of the mobile device 102, and/or the travel time to the target destination as predicted by the navigation system 120.


Further, the charge controller 130 of the illustrated example determines whether to emit an instruction to the user 104 to couple the mobile device 102 to the charging station 114 by comparing the predicted state-of-charge, the current state-of-charge, and/or the rate-of-change to threshold(s) associated with low battery levels. The charge controller 130 is configured to emit the instruction to the user 104 via the cluster output 124, the display 126, the speakers 128, and/or any other output device of the infotainment head unit 122. Further, in some examples, the charge controller 130 is configured to send a signal to the mobile device 102 to cause the mobile device 102 to emit the instruction (e.g., a visual instruction, an audio instruction, a haptic instruction) to the user 104 via the mobile device 102.


For example, the charge controller 130 emits an instruction to couple the mobile device 102 to the charging station 114 in response to determining that the predicted state-of-charge and/or the current state-of-charge is less than charge threshold. In some examples, the predicted state-of-charge and the current state-of-charge are compared to the same charge threshold (e.g., 40% of a full charge level). In other examples, the predicted state-of-charge the current state-of-charge are compared to different charge thresholds. For example, the charge controller 130 emits an instruction to couple the mobile device 102 to the charging station 114 in response to determining that the predicted state-of-charge is less than a first charge threshold (e.g., 60% of a full charge level) and/or in response to determining that the current state-of-charge is less than a second charge threshold (e.g., 40% of a full charge level). Additionally or alternatively, the charge controller 130 emits an instruction for the user 104 to couple the mobile device 102 to the charging station 114 in response to determining that the rate-of-change of the battery of the mobile device 102 is greater than a rate threshold (e.g., a state-of-charge decrease of 15% per hour). That is, the charge controller 130 emits an instruction in response to detecting that the state-of-charge is decreasing at a rate greater than a predetermined threshold.



FIG. 2 is a block diagram of electronic components 200 of the mobile device 102. As illustrated in FIG. 2, the electronic components 200 include a processor 202, memory 204, a GPS receiver 206, a navigation system 208, a battery sensor 210 that monitors a battery 212, a communication module 214, a communication module 216, a touchscreen 218, a speaker 220, and a haptic motor 222.


The processor 202 may be any suitable processing device or set of processing devices such as, but not limited to, a microprocessor, a microcontroller-based platform, an integrated circuit, one or more field programmable gate arrays (FPGAs), and/or one or more application-specific integrated circuits (ASICs). In some examples, the processor 202 is structured to include the charge controller 130. The memory 204 may be volatile memory (e.g., RAM including non-volatile RAM, magnetic RAM, ferroelectric RAM, etc.), non-volatile memory (e.g., disk memory, FLASH memory, EPROMs, EEPROMs, memristor-based non-volatile solid-state memory, etc.), unalterable memory (e.g., EPROMs), read-only memory, and/or high-capacity storage devices (e.g., hard drives, solid state drives, etc). In some examples, the memory 204 includes multiple kinds of memory, particularly volatile memory and non-volatile memory.


The memory 204 is computer readable media on which one or more sets of instructions, such as the software for operating the methods of the present disclosure, can be embedded. The instructions may embody one or more of the methods or logic as described herein. For example, the instructions reside completely, or at least partially, within any one or more of the memory 204, the computer readable medium, and/or within the processor 202 during execution of the instructions.


The terms “non-transitory computer-readable medium” and “computer-readable medium” include a single medium or multiple media, such as a centralized or distributed database, and/or associated caches and servers that store one or more sets of instructions. Further, the terms “non-transitory computer-readable medium” and “computer-readable medium” include any tangible medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor or that cause a system to perform any one or more of the methods or operations disclosed herein. As used herein, the term “computer readable medium” is expressly defined to include any type of computer readable storage device and/or storage disk and to exclude propagating signals.


The GPS receiver 206 receives a signal from a global positioning system to identify a current location of the mobile device 102. Additionally, the navigation system 208 is an electronic system of the mobile device 102 that facilitates the user 104 in navigating while walking, traveling via the vehicle 100 and/or another vehicle, etc. For example, the navigation system 208 presents map(s), provides direction(s), and/or identifies traffic condition(s) and/or obstacle(s) to facilitate the user 104 in navigating from a current location of the mobile device 102 to a target destination.


Further, the battery sensor 210 of the illustrated example monitors the battery 212 of the mobile device 102. For example, the battery sensor 210 detects the state-of-charge of the battery 212. In some examples, the battery sensor 210 detects the rate-of-change of the battery 212 by measuring the state-of-charge of the battery 212 over a period of time.


The communication module 214 is configured to communicatively couple the mobile device 102 to the vehicle 100. The communication module 214 includes hardware and firmware to establish a wireless connection with the vehicle 100. For example, the communication module 214 is a wireless personal area network (WPAN) module that wirelessly communicates with the vehicle 100 via short-range wireless communication protocol(s). In some examples, the communication module 214 implements the Bluetooth® and/or Bluetooth® Low Energy (BLE) protocols. The Bluetooth® and BLE protocols are set forth in Volume 6 of the Bluetooth® Specification 4.0 (and subsequent revisions) maintained by the Bluetooth® Special Interest Group. Additionally or alternatively, the communication module 214 is configured to wirelessly communicate via Wi-Fi®, Near Field Communication (NFC), UWB (Ultra-Wide Band), and/or any other short-range and/or local wireless communication protocol (e.g., IEEE 802.11 a/b/g/n/ac/p) that enables the communication module 214 to communicatively couple to the vehicle 100.


The communication module 216 includes wired or wireless network interfaces to enable communication with external networks. The communication module 216 also includes hardware (e.g., processors, memory, storage, antenna, etc.) and software to control the wired or wireless network interfaces. In the illustrated example, the communication module 216 includes one or more communication controllers for cellular networks (e.g., Global System for Mobile Communications (GSM), Universal Mobile Telecommunications System (UMTS), Long Term Evolution (LTE), Code Division Multiple Access (CDMA)) and/or other standards-based networks (e.g., WiMAX (IEEE 802.16m); Near Field Communication (NFC), local area wireless network (including IEEE 802.11 a/b/g/n/ac/p or others), Wireless Gigabit (IEEE 802.11ad), etc.). The external network(s) may be a public network, such as the Internet; a private network, such as an intranet; or combinations thereof, and may utilize a variety of networking protocols now available or later developed including, but not limited to, TCP/IP-based networking protocols.


The electronic components 200 of the illustrated example also include the touchscreen 218, the speaker 220, and the haptic motor 222 that provide an interface between the user 104 and the mobile device 102. For example, the touchscreen 218 is a resistive touchscreen, a capacitive touchscreen, and/or any other type of touchscreen that displays output information to and tactilely receives input information from the user 104 of the mobile device 102. Additionally, the speaker 220 emits audio to the user 104 for informational and/or entertainment purposes. The haptic motor 222 is a motor that causes the mobile device 102 to vibrate, for example, upon receiving a signal from the processor 202 to do so. Further, the mobile device 102 may include other input device(s) (e.g., buttons, knobs, microphones, etc.) and/or output devices (e.g., LEDs, etc.) to receive input information from and/or provide output information to the user 104 of the mobile device 102.


In operation, the battery sensor 210 measures (e.g., continuously, periodically) a state-of-charge of the battery 212 of the mobile device 102. Further, the processor 202 determines whether the communication module 214 is communicatively coupled to one or more of the communication nodes 108 of the vehicle 100. If the processor 202 determines that the mobile device 102 is communicatively coupled to the vehicle 100, the processor 202 sends, via the communication module 214, the state-of-charge of the battery 212 to the vehicle 100.


Further, in some examples, the processor 202 sends (e.g., continuously, periodically) a rate-of-change of the battery 212, a current location, a target destination, and/or a travel time to the vehicle 100 via the communication module 214 if the mobile device 102 is communicatively coupled to the vehicle 100. For example, the processor 202 identifies a rate-of-change of the state-of-charge of the battery 212 of the mobile device 102 by monitoring the state-of-charge of the battery 212 over a period of time. Additionally or alternatively, the processor receives the current location from the GPS receiver 206, the target destination from the navigation system 208, and/or the travel time to the target destination from the navigation system 208. For example, the navigation system 208 receives a target destination from the user 104 via the touchscreen 218 and/or another input device and predicts the travel time between the current location of the mobile device 102 and the target destination.


In some examples, the processor 202 of the mobile device 102 emits alerts to the user 104 upon identifying that the mobile device 102 is communicatively decoupled from the vehicle 100 and/or located outside of the cabin 106 of the vehicle 100. For example, when the mobile device 102 and the vehicle 100 are communicatively decoupled, the processor 202 emits a visual alert via the touchscreen 218, an audio alert via the speaker 220, and/or a haptic alert via the haptic motor 222 in response to detecting that the state-of-charge of the mobile device is less than a charge threshold (e.g., 40% of a full charge level). The charge threshold to which the processor 202 compares the state-of-charge may be similar or different than the charge threshold to which the charge controller 130 of the vehicle compares the current and/or a predicted state-of-charge.


Additionally or alternatively, the processor 202 emits audio and/or visual alerts for and/or directions to a nearby publicly-available charging station in response to determining that the state-of-charge of the battery 212 is less than the charge threshold. For example, in response to the processor 202 detecting that the current state-of-charge is less than the charge threshold, the processor 202 retrieves, via the communication module 216, location(s) of one or more publicly-available charging stations that are near the current location of the mobile device 102 from an external network. The processor 202 compares the charging station locations to the current location of the mobile device 102 as identified via the GPS receiver 206 and identifies the publicly-available charging station that is open (e.g., determined based on a comparison of available hours of the charging station and a current time) and/or closest to the current location of the mobile device 102. Further, the navigation system 208 provides directions to the closest publicly-available charging station for the user 104 to facilitate recharging of the battery 212 of the mobile device 102.


Further, in some examples, the processor 202 of the mobile device 102 causes the mobile device 102 to turn off and/or instructs the user 104 to turn off the mobile device 102 in response to determining that the current state-of-charge is less than another charge threshold (e.g., a critical threshold such as 10% of a full charge level). The processor 202 temporarily deactivates the mobile device 102 to enable the user 104 to reactivate the mobile device 102 as the user 104 returns to the vehicle 100 to enable the mobile device 102 to be utilized for passive entry, passive start, and/or remote park-assist for a short period of time. For example, the processor 202 may automatically launch an application utilized to execute commands for passive entry, passive start, and/or remote park-assist.


The processor 202 also may instruct the user 104 on which applications of the mobile device 102 consume large amounts of battery current and/or are actively consuming a large percentage of the remaining state-of-charge. Such instructions provided by the processor 202 (e.g., via the touchscreen 218 and/or the speaker 220) may advise the user 104 to suspend use of one or more of these applications to enable the battery 212 of the mobile device 102 to retain a predetermined amount of current for utilization for passive entry, passive start, and/or remote park-assist.



FIG. 3 is a block diagram of electronic components 300 of the vehicle 100. As illustrated in FIG. 3, the electronic components 300 include an on-board computing platform 302, the infotainment head unit 122, the communication nodes 108, the GPS receiver 118, the navigation system 120, sensors 304, electronic control units (ECUs) 306, and a vehicle data bus 308.


The on-board computing platform 302 includes a microcontroller unit, controller or processor 310 and memory 312. In some examples, the processor 310 of the on-board computing platform 302 is structured to include charge controller 130. Alternatively, in some examples, the charge controller 130 is incorporated into another electronic control unit (ECU) with its own processor 310 and memory 312. The processor 310 may be any suitable processing device or set of processing devices such as, but not limited to, a microprocessor, a microcontroller-based platform, an integrated circuit, one or more field programmable gate arrays (FPGAs), and/or one or more application-specific integrated circuits (ASICs). The memory 312 may be volatile memory (e.g., RAM including non-volatile RAM, magnetic RAM, ferroelectric RAM, etc.), non-volatile memory (e.g., disk memory, FLASH memory, EPROMs, EEPROMs, memristor-based non-volatile solid-state memory, etc.), unalterable memory (e.g., EPROMs), read-only memory, and/or high-capacity storage devices (e.g., hard drives, solid state drives, etc). In some examples, the memory 312 includes multiple kinds of memory, particularly volatile memory and non-volatile memory.


The memory 312 is computer readable media on which one or more sets of instructions, such as the software for operating the methods of the present disclosure, can be embedded. The instructions may embody one or more of the methods or logic as described herein. For example, the instructions reside completely, or at least partially, within any one or more of the memory 312, the computer readable medium, and/or within the processor 310 during execution of the instructions.


The sensors 304 are arranged in and around the vehicle 100 to monitor properties of the vehicle 100 and/or an environment in which the vehicle 100 is located. One or more of the sensors 304 may be mounted to measure properties around an exterior of the vehicle 100. Additionally or alternatively, one or more of the sensors 304 may be mounted inside a cabin of the vehicle 100 or in a body of the vehicle 100 (e.g., an engine compartment, wheel wells, etc.) to measure properties in an interior of the vehicle 100. For example, the sensors 304 include accelerometers, odometers, tachometers, pitch and yaw sensors, wheel speed sensors, microphones, tire pressure sensors, biometric sensors and/or sensors of any other suitable type. In the illustrated example, the sensors 304 include the vehicle speed sensor 116 that measures a speed at which the vehicle 100 is traveling.


The ECUs 306 monitor and control the subsystems of the vehicle 100. For example, the ECUs 306 are discrete sets of electronics that include their own circuit(s) (e.g., integrated circuits, microprocessors, memory, storage, etc.) and firmware, sensors, actuators, and/or mounting hardware. The ECUs 306 communicate and exchange information via a vehicle data bus (e.g., the vehicle data bus 308). Additionally, the ECUs 306 may communicate properties (e.g., status of the ECUs 306, sensor readings, control state, error and diagnostic codes, etc.) to and/or receive requests from each other. For example, the vehicle 100 may have seventy or more of the ECUs 306 that are positioned in various locations around the vehicle 100 and are communicatively coupled by the vehicle data bus 308.


In the illustrated example, the ECUs 306 include a door control unit 314, an engine control unit 316, and an autonomy unit 318. For example, the door control unit 614 controls operation of components and/or systems of a door (e.g., passive entry) of the vehicle 100. The engine control unit 316 control(s) operation (e.g., passive start) of an engine of the vehicle 100. Further, the autonomy unit 318 controls performance of autonomous and/or semi-autonomous driving maneuvers (e.g., remote park-assist) of the vehicle 100.


The vehicle data bus 308 communicatively couples the communication nodes 108, the GPS receiver 118, the navigation system 120, the infotainment head unit 122, the on-board computing platform 302, the sensors 304, and the ECUs 306. In some examples, the vehicle data bus 308 includes one or more data buses. The vehicle data bus 308 may be implemented in accordance with a controller area network (CAN) bus protocol as defined by International Standards Organization (ISO) 11898-1, a Media Oriented Systems Transport (MOST) bus protocol, a CAN flexible data (CAN-FD) bus protocol (ISO 11898-7) and/a K-line bus protocol (ISO 9141 and ISO 14230-1), and/or an Ethernet™ bus protocol IEEE 802.3 (2002 onwards), etc.



FIG. 4 is a flowchart of an example method 400 to monitor a state-of-charge of a mobile device communicatively coupled to a vehicle. The flowchart of FIG. 4 is representative of machine readable instructions that are stored in memory (such as the memory 312 of FIG. 3) and include one or more programs which, when executed by a processor (such as the processor 202 of FIG. 2 and/or the processor 310 of FIG. 3), cause the vehicle 100 to implement the example charge controller 130 of FIGS. 1A-1B and 3. While the example program is described with reference to the flowchart illustrated in FIG. 4, many other methods of implementing the example charge controller 130 may alternatively be used. For example, the order of execution of the blocks may be rearranged, changed, eliminated, and/or combined to perform the method 400. Further, because the method 400 is disclosed in connection with the components of FIGS. 1A-3, some functions of those components will not be described in detail below.


Initially, at block 402, the battery sensor 210 of the mobile device 102 measures a state-of-charge of the battery 212 of the mobile device 102. At block 404, the processor 202 of the mobile device 102 determines whether the communication module 214 is communicatively coupled to one or more of the communication nodes 108 of the vehicle 100. In response to the processor 202 determining that the mobile device 102 is not communicatively coupled to the vehicle 100, the method 400 proceeds to block 426. Otherwise, in response to the processor 202 determining that the mobile device 102 is communicatively coupled to the vehicle 100, the method 400 proceeds to block 406 at which the communication module 214 of the mobile device 102 sends the current state-of-charge of the mobile device 102 to the vehicle 100 via one or more of the communication nodes 108.


At block 408, the charge controller 130 of the vehicle 100 determines whether the mobile device 102 is located within the cabin 106 of the vehicle 100. For example, the charge controller 130 determines whether the mobile device 102 is located within the cabin 106 via received signal strength indicators, GPS, time-of-flight, angle-of-arrival, etc. In other examples, the processor 202 of the mobile device 102 determines that the mobile device 102 is outside of the vehicle 100 via a GPS location of the mobile device 102 and a GPS location of the vehicle 100. In response to the charge controller 130 determining that the mobile device is not within the cabin 106 of the vehicle 100, the method 400 proceeds to block 426. For example, the charge controller 130 sends, via one or more of the communication nodes 108, a signal to the mobile device 102 that indicates the mobile device 102 is outside of the vehicle 100. Otherwise, in response to the charge controller 130 determining that the mobile device is within the cabin 106 of the vehicle 100, the method 400 proceeds to block 410.


At block 410, the charge controller 130 receives the state-of-charge of the battery 212 of the mobile device 102 via one or more of the communication nodes 108 of the vehicle 100. At block 412, the charge controller 130 identifies a rate-of-change of the state-of-charge of the battery 212 of the mobile device 102. In some examples, the charge controller 130 determines the rate-of-change by comparing measured state-of-charge values of the battery 212 over a period of time. In other examples, the charge controller 130 receives the rate-of-change from the mobile device 102. At block 414, the charge controller 130 determines a travel time to a destination of the vehicle 100. For example, the charge controller 130 receives the travel time that is determined by the navigation system 120 of the vehicle 100 and/or the navigation system 208 of the mobile device 102 that determines the travel time based upon a current location of the vehicle 100 and/or the mobile device 102 and a target destination provided by the user 104. At block 416, the charge controller 130 determines a predicted state-of-charge of the battery 212 of the mobile device 102 for when the vehicle 100 arrives at the target destination based upon, the current state-of-charge, the rate-of-change, and the travel time to the target destination.


At block 418, the charge controller 130 compares the predicted state-of-charge, the current state-of-charge, and the rate-of-change to threshold(s). At block 420, the charge controller 130 determines whether the mobile device 102 should be coupled to the charging station 114 of the vehicle 100 for recharging of the battery 212 based upon the comparison(s) performed at block 418. For example, the charge controller 130 determines that the battery 212 is to be recharged in response to determining that the predicted state-of-charge is less than a first threshold (e.g., a charge threshold), the current state-of-charge is less than a second threshold (e.g., a charge threshold), and/or the rate-of-change is greater than a third threshold (e.g., a rate threshold). In response to the charge controller 130 determining that the battery 212 of the mobile device 102 is not in a state for recharging, the method 400 returns to block 402. Otherwise, in response to the charge controller 130 determining that the battery 212 of the mobile device 102 is in a state for recharging, the method 400 proceeds to block 422 at which the charge controller 130 determines an instruction to emit to the user 104. At block 424, the charge controller 130 emits (e.g., via the mobile device 102 and/or the infotainment head unit 122) the instruction for the user 104 to recharge the mobile device 102.


Returning to block 426, the processor 202 of the mobile device 102 compares the current state-of-charge of the battery 212 to charge threshold(s) upon identifying that the mobile device 102 is decoupled from the vehicle 100 (block 404) and/or is outside of the cabin 106 of the vehicle 100 (block 408). At block 428, the processor 202 determines whether the mobile device 102 should be coupled to a charging station for recharging of the battery 212 based upon the comparison(s) performed at block 426. For example, the processor 202 determines that the battery 212 is to be recharged in response to determining that the current state-of-charge is less than a charge threshold. In response to the processor 202 determining that the battery 212 of the mobile device 102 is not in a state for recharging, the method 400 returns to block 402. Otherwise, in response to the charge controller 130 determining that the battery 212 of the mobile device 102 is in a state for recharging, the method 400 proceeds to block 430 at which the mobile device 102 emits an instruction to the user 104 to recharge the battery 212 of the mobile device 102. For example, the processor 202 emits an audio alert via the speaker 220, a visual alert via the touchscreen 218, and/or a haptic alert via the haptic motor 222 in response to determining that the current state-of-charge is less than a charge threshold. Additionally or alternatively, the processor 202 emits audio and/or visual alerts for and/or directions to a nearby publicly-available charging station in response to determining that the current state-of-charge is less than the charge threshold. At block 432, the processor 202 causes the mobile device 102 to turn off and/or instructs the user 104 to turn off the mobile device 102 in response to determining that the current state-of-charge is less than another charge threshold.


In this application, the use of the disjunctive is intended to include the conjunctive. The use of definite or indefinite articles is not intended to indicate cardinality. In particular, a reference to “the” object or “a” and “an” object is intended to denote also one of a possible plurality of such objects. Further, the conjunction “or” may be used to convey features that are simultaneously present instead of mutually exclusive alternatives. In other words, the conjunction “or” should be understood to include “and/or”. The terms “includes,” “including,” and “include” are inclusive and have the same scope as “comprises,” “comprising,” and “comprise” respectively. Additionally, as used herein, the terms “module,” “unit,” and “node” refer to hardware with circuitry to provide communication, control and/or monitoring capabilities, often in conjunction with sensors. A “module,” a “unit,” and a “node” may also include firmware that executes on the circuitry.


The above-described embodiments, and particularly any “preferred” embodiments, are possible examples of implementations and merely set forth for a clear understanding of the principles of the invention. Many variations and modifications may be made to the above-described embodiment(s) without substantially departing from the spirit and principles of the techniques described herein. All modifications are intended to be included herein within the scope of this disclosure and protected by the following claims.

Claims
  • 1. A system comprising: a mobile device including: a sensor to measure a state of charge (SOC);a communication module to send the SOC; anda processor; anda vehicle including: a communication node to receive the SOC;a charging station; anda controller to: determine a predicted SOC based on the SOC, a rate-of-change, and a travel time to a destination; andinstruct to utilize the charging station when the predicted SOC is less than a threshold,wherein the processor of the mobile device is configured to: identify when the mobile device is communicatively decoupled from the vehicle, andwhen the mobile device and the vehicle are communicatively decoupled, emit at least one of an audio alert, a visual alert, and a haptic alert in response to determining that the SOC is less than a second threshold,wherein, when the mobile device and the vehicle are communicatively decoupled, the processor is configured to: identify, in response to determining that the SOC is less than the second threshold, an open public charging station from an external network; andprovide directions to the open public charging station.
  • 2. The system of claim 1, wherein the mobile device further includes a navigation system that receives the destination from a user and determines the travel time between the destination and a current location.
  • 3. The system of claim 1, wherein, when the mobile device and the vehicle are communicatively decoupled, the processor turns off the mobile device in response to determining that the SOC is less than a third threshold.
  • 4. A system comprising: a mobile device including: a sensor to measure a state of charge (SOC);a communication module to send the SOC; anda processor; anda vehicle including: a communication node to receive the SOC;a charging station; anda controller to: determine a predicted SOC based on the SOC, a rate-of-change, and a travel time to a destination; andinstruct to utilize the charging station when the predicted SOC is less than a threshold,wherein the processor of the mobile device is configured to: identify when the mobile device is communicatively decoupled from the vehicle, andwhen the mobile device and the vehicle are communicatively decoupled, emit at least one of an audio alert, a visual alert, and a haptic alert in response to determining that the SOC is less than a second threshold,wherein, when the mobile device and the vehicle are communicatively decoupled, the processor turns off the mobile device in response to determining that the SOC is less than a third threshold.
US Referenced Citations (351)
Number Name Date Kind
5959724 Izumi Sep 1999 A
6275754 Shimizu Aug 2001 B1
6356828 Shimizu Mar 2002 B1
6452617 Bates Sep 2002 B1
6476730 Kakinami Nov 2002 B2
6477260 Shimomura Nov 2002 B1
6657555 Shimizu Dec 2003 B2
6683539 Trajkovic Jan 2004 B2
6724322 Tang Apr 2004 B2
6744364 Wathen Jun 2004 B2
6768420 McCarthy Jul 2004 B2
6801855 Walters Oct 2004 B1
6850844 Walters Jan 2005 B1
6850148 Masudaya Feb 2005 B2
6927685 Wathen Aug 2005 B2
6997048 Komatsu Feb 2006 B2
7042332 Takamura May 2006 B2
7123167 Staniszewski Oct 2006 B2
7307655 Okamoto Dec 2007 B1
7663508 Teshima Feb 2010 B2
7737866 Wu Jun 2010 B2
7813844 Gensler Oct 2010 B2
7825828 Watanabe Nov 2010 B2
7834778 Browne Nov 2010 B2
7847709 McCall Dec 2010 B2
7850078 Christenson Dec 2010 B2
7924483 Smith Apr 2011 B2
8035503 Partin Oct 2011 B2
8054169 Bettecken Nov 2011 B2
8098146 Petrucelli Jan 2012 B2
8126450 Howarter Feb 2012 B2
8164628 Stein Apr 2012 B2
8180524 Eguchi May 2012 B2
8180547 Prasad May 2012 B2
8224313 Howarter Jul 2012 B2
8229645 Lee Jul 2012 B2
8242884 Holcomb Aug 2012 B2
8335598 Dickerhoof Dec 2012 B2
8401235 Lee Mar 2013 B2
8493236 Boehme Jul 2013 B2
8538408 Howarter Sep 2013 B2
8542130 Lavoie Sep 2013 B2
8552856 McRae Oct 2013 B2
8587681 Guidash Nov 2013 B2
8594616 Gusikhin Nov 2013 B2
8599043 Kadowaki Dec 2013 B2
8618945 Furuta Dec 2013 B2
8645015 Oetiker Feb 2014 B2
8655551 Danz Feb 2014 B2
8692773 You Apr 2014 B2
8706350 Talty Apr 2014 B2
8725315 Talty May 2014 B2
8742947 Nakazono Jun 2014 B2
8744684 Hong Jun 2014 B2
8780257 Gidon Jul 2014 B2
8787868 Leblanc et al. Jul 2014 B2
8825262 Lee Sep 2014 B2
8933778 Birkel Jan 2015 B2
8957786 Stempnik Feb 2015 B2
8994548 Gaboury Mar 2015 B2
8995914 Nishidai Mar 2015 B2
9008860 Waldock Apr 2015 B2
9014920 Torres Apr 2015 B1
9078200 Wuergler Jul 2015 B2
9086879 Gautama et al. Jul 2015 B2
9141503 Chen Sep 2015 B1
9147065 Lauer Sep 2015 B2
9154920 O'Brien Oct 2015 B2
9168955 Noh Oct 2015 B2
9193387 Auer Nov 2015 B2
9225531 Hachey Dec 2015 B2
9230439 Boulay et al. Jan 2016 B2
9233710 Lavoie Jan 2016 B2
9273966 Bartels Mar 2016 B2
9275208 Protopapas Mar 2016 B2
9283960 Lavoie Mar 2016 B1
9286803 Tippelhofer Mar 2016 B2
9302675 Schilling Apr 2016 B2
9318022 Barth Apr 2016 B2
9379567 Kracker Jun 2016 B2
9381859 Nagata Jul 2016 B2
9429657 Sidhu Aug 2016 B2
9429947 Wengreen Aug 2016 B1
9454251 Guihot Sep 2016 B1
9469247 Juneja Oct 2016 B2
9493187 Pilutti Nov 2016 B2
9506774 Shutko Nov 2016 B2
9511799 Lavoie Dec 2016 B2
9522675 You Dec 2016 B1
9529519 Blumenberg Dec 2016 B2
9557741 Elie Jan 2017 B1
9563990 Khan Feb 2017 B2
9595145 Avery Mar 2017 B2
9598051 Okada Mar 2017 B2
9606241 Varoglu Mar 2017 B2
9616923 Lavoie Apr 2017 B2
9637117 Gusikhin May 2017 B1
9651655 Feldman May 2017 B2
9656690 Shen May 2017 B2
9666040 Flaherty May 2017 B2
9688306 McClain Jun 2017 B2
9701280 Schussmann Jul 2017 B2
9712977 Tu Jul 2017 B2
9715816 Adler Jul 2017 B1
9725069 Krishnan Aug 2017 B2
9731714 Kiriya Aug 2017 B2
9731764 Baek Aug 2017 B2
9754173 Kim Sep 2017 B2
9809218 Elie Nov 2017 B2
9811085 Hayes Nov 2017 B1
9842444 Van Wiemeersch Dec 2017 B2
9845070 Petel Dec 2017 B2
9846431 Petel Dec 2017 B2
9914333 Shank Mar 2018 B2
9921743 Bryant Mar 2018 B2
9946255 Matters Apr 2018 B2
9959763 Miller May 2018 B2
9971130 Lin May 2018 B1
9975504 Dalke May 2018 B2
10019001 Dang Van Nhan Jul 2018 B2
10032276 Liu Jul 2018 B1
10040482 Jung Aug 2018 B1
10043076 Zhang Aug 2018 B1
10131347 Kim Nov 2018 B2
10192113 Liu Jan 2019 B1
10246055 Farges Apr 2019 B2
10268341 Kocienda Apr 2019 B2
20030060972 Kakinami Mar 2003 A1
20030098792 Edwards May 2003 A1
20030133027 Itoh Jul 2003 A1
20050030156 Alfonso Feb 2005 A1
20050068450 Steinberg Mar 2005 A1
20050099275 Kamdar May 2005 A1
20060010961 Gibson Jan 2006 A1
20060227010 Berstis Oct 2006 A1
20060235590 Bolourchi Oct 2006 A1
20070230944 Georgiev Oct 2007 A1
20080027591 Lenser Jan 2008 A1
20080154464 Sasajima Jun 2008 A1
20080154613 Haulick Jun 2008 A1
20080238643 Malen Oct 2008 A1
20080306683 Ando Dec 2008 A1
20090096753 Lim Apr 2009 A1
20090098907 Huntzicker Apr 2009 A1
20090115639 Proefke May 2009 A1
20090125181 Luke May 2009 A1
20090125311 Haulick May 2009 A1
20090128315 Griesser May 2009 A1
20090146813 Nuno Jun 2009 A1
20090174574 Endo Jul 2009 A1
20090241031 Gamaley Sep 2009 A1
20090289813 Kwiecinski Nov 2009 A1
20090309970 Ishii Dec 2009 A1
20090313095 Hurpin Dec 2009 A1
20100025942 Von Rehyer Feb 2010 A1
20100061564 Clemow Mar 2010 A1
20100114471 Sugiyama May 2010 A1
20100114488 Khamharn May 2010 A1
20100136944 Taylor Jun 2010 A1
20100152972 Attard Jun 2010 A1
20100156672 Yoo Jun 2010 A1
20100245277 Nakao Sep 2010 A1
20100259420 Von Rehyer Oct 2010 A1
20110071725 Kleve Mar 2011 A1
20110082613 Oetiker Apr 2011 A1
20110190972 Timmons Aug 2011 A1
20110205088 Baker Aug 2011 A1
20110253463 Smith Oct 2011 A1
20110309922 Ghabra Dec 2011 A1
20120007741 Laffey Jan 2012 A1
20120072067 Jecker Mar 2012 A1
20120083960 Zhu Apr 2012 A1
20120173080 Cluff Jul 2012 A1
20120176332 Fujibayashi Jul 2012 A1
20120271500 Tsimhoni Oct 2012 A1
20120303258 Pampus Nov 2012 A1
20120323643 Volz Dec 2012 A1
20120323700 Aleksandrovich Dec 2012 A1
20130021171 Hsu Jan 2013 A1
20130024202 Harris Jan 2013 A1
20130043989 Niemz Feb 2013 A1
20130073119 Huger Mar 2013 A1
20130109342 Welch May 2013 A1
20130110342 Wuttke May 2013 A1
20130113936 Cohen May 2013 A1
20130124061 Khanafer May 2013 A1
20130145441 Mujumdar Jun 2013 A1
20130211623 Thompson Aug 2013 A1
20130231824 Wilson Sep 2013 A1
20130289825 Noh Oct 2013 A1
20130314502 Urbach Nov 2013 A1
20130317944 Huang Nov 2013 A1
20140052323 Reichel Feb 2014 A1
20140095994 Kim Apr 2014 A1
20140096051 Boblett Apr 2014 A1
20140121930 Allexi May 2014 A1
20140147032 Yous May 2014 A1
20140156107 Karasawa Jun 2014 A1
20140188339 Moon Jul 2014 A1
20140222252 Matters Aug 2014 A1
20140240502 Strauss Aug 2014 A1
20140282931 Protopapas Sep 2014 A1
20140297120 Cotgrove Oct 2014 A1
20140300504 Shaffer Oct 2014 A1
20140303839 Filev Oct 2014 A1
20140320318 Victor Oct 2014 A1
20140327736 DeJohn Nov 2014 A1
20140350804 Park Nov 2014 A1
20140350855 Vishnuvajhala Nov 2014 A1
20140365108 You Dec 2014 A1
20140365126 Vulcano Dec 2014 A1
20150022468 Cha Jan 2015 A1
20150039173 Beaurepaire Feb 2015 A1
20150039224 Tuukkanen Feb 2015 A1
20150048927 Simmons Feb 2015 A1
20150066545 Kotecha Mar 2015 A1
20150077522 Suzuki Mar 2015 A1
20150088360 Bonnet Mar 2015 A1
20150091741 Stefik Apr 2015 A1
20150109116 Grimm Apr 2015 A1
20150116079 Mishra Apr 2015 A1
20150123818 Sellschopp May 2015 A1
20150127208 Jecker May 2015 A1
20150149265 Huntzicker May 2015 A1
20150151789 Lee Jun 2015 A1
20150153178 Koo Jun 2015 A1
20150161890 Huntzicker Jun 2015 A1
20150163649 Chen Jun 2015 A1
20150197278 Boos Jul 2015 A1
20150203111 Bonnet Jul 2015 A1
20150203156 Hafner Jul 2015 A1
20150210317 Hafner Jul 2015 A1
20150217693 Pliefke Aug 2015 A1
20150219464 Beaurepaire Aug 2015 A1
20150220791 Wu Aug 2015 A1
20150226146 Elwart Aug 2015 A1
20150274016 Kinoshita Oct 2015 A1
20150286340 Send Oct 2015 A1
20150329110 Stefan Nov 2015 A1
20150344028 Gieseke Dec 2015 A1
20150346727 Ramanujam Dec 2015 A1
20150360720 Li Dec 2015 A1
20150365401 Brown Dec 2015 A1
20150371541 Korman Dec 2015 A1
20150375741 Kiriya Dec 2015 A1
20150375742 Gebert Dec 2015 A1
20160012653 Soroka Jan 2016 A1
20160012726 Wang Jan 2016 A1
20160018821 Akita Jan 2016 A1
20160055749 Nicoll Feb 2016 A1
20160153778 Singh Feb 2016 A1
20160062354 Li Mar 2016 A1
20160068158 Elwart Mar 2016 A1
20160068187 Hata Mar 2016 A1
20160075369 Lavoie Mar 2016 A1
20160090055 Breed Mar 2016 A1
20160107689 Lee Apr 2016 A1
20160112846 Siswick Apr 2016 A1
20160114726 Nagata Apr 2016 A1
20160117926 Akavaram Apr 2016 A1
20160127664 Bruder May 2016 A1
20160139244 Holtman May 2016 A1
20160144857 Ohshima May 2016 A1
20160152263 Singh Jun 2016 A1
20160170494 Bonnet Jun 2016 A1
20160185389 Ishijima Jun 2016 A1
20160189435 Beaurepaire Jun 2016 A1
20160207528 Stefan Jul 2016 A1
20160224025 Petel Aug 2016 A1
20160229452 Lavoie Aug 2016 A1
20160236680 Lavoie Aug 2016 A1
20160249294 Lee Aug 2016 A1
20160257304 Lavoie Sep 2016 A1
20160272244 Imai Sep 2016 A1
20160282442 O'Mahony Sep 2016 A1
20160284217 Lee Sep 2016 A1
20160288657 Tokura Oct 2016 A1
20160300417 Hatton Oct 2016 A1
20160304087 Noh Oct 2016 A1
20160304088 Barth Oct 2016 A1
20160349362 Rohr Oct 2016 A1
20160321445 Turgeman Nov 2016 A1
20160321926 Mayer Nov 2016 A1
20160334797 Ross Nov 2016 A1
20160347280 Daman Dec 2016 A1
20160355125 Herbert Dec 2016 A1
20160357354 Chen Dec 2016 A1
20160358474 Uppal Dec 2016 A1
20160368489 Aich Dec 2016 A1
20160371607 Rosen Dec 2016 A1
20160371691 Kang Dec 2016 A1
20170001650 Park Jan 2017 A1
20170008563 Popken Jan 2017 A1
20170026198 Ochiai Jan 2017 A1
20170028985 Kiyokawa Feb 2017 A1
20170030722 Kojo Feb 2017 A1
20170032593 Patel Feb 2017 A1
20170072947 Lavoie Mar 2017 A1
20170073004 Shepard Mar 2017 A1
20170076603 Bostick Mar 2017 A1
20170097504 Takamatsu Apr 2017 A1
20170116790 Kusens Apr 2017 A1
20170123423 Sako May 2017 A1
20170129537 Kim May 2017 A1
20170129538 Stefan May 2017 A1
20170132482 Kim May 2017 A1
20170144654 Sham May 2017 A1
20170144656 Kim May 2017 A1
20170147995 Kalimi May 2017 A1
20170168479 Dang Jun 2017 A1
20170192428 Vogt Jul 2017 A1
20170200369 Miller Jul 2017 A1
20170203763 Yamada Jul 2017 A1
20170208438 Dickow Jul 2017 A1
20170297385 Kim Oct 2017 A1
20170297620 Lavoie Oct 2017 A1
20170301241 Urhahne Oct 2017 A1
20170308075 Whitaker Oct 2017 A1
20170336788 Iagnemma Nov 2017 A1
20170357317 Chaudhri Dec 2017 A1
20170371514 Cullin Dec 2017 A1
20180015878 McNew Jan 2018 A1
20180024559 Seo Jan 2018 A1
20180029591 Lavoie Feb 2018 A1
20180029641 Solar Feb 2018 A1
20180039264 Messner Feb 2018 A1
20180043884 Johnson Feb 2018 A1
20180056939 Van Roermund Mar 2018 A1
20180056989 Donald Mar 2018 A1
20180082588 Hoffman, Jr. Mar 2018 A1
20180088330 Giannuzzi Mar 2018 A1
20180093663 Kim Apr 2018 A1
20180105165 Alarcon Apr 2018 A1
20180105167 Kim Apr 2018 A1
20180148094 Mukaiyama May 2018 A1
20180174460 Jung Jun 2018 A1
20180189971 Hildreth Jul 2018 A1
20180194344 Wang Jul 2018 A1
20180196963 Bandiwdekar Jul 2018 A1
20180224863 Fu Aug 2018 A1
20180236957 Min Aug 2018 A1
20180284802 Tsai Oct 2018 A1
20180286072 Tsai Oct 2018 A1
20180339654 Kim Nov 2018 A1
20180345851 Lavoie Dec 2018 A1
20180364731 Liu Dec 2018 A1
20190005445 Bahrainwala Jan 2019 A1
20190042003 Parazynski Feb 2019 A1
20190066503 Li Feb 2019 A1
20190103027 Wheeler Apr 2019 A1
20190137990 Golgiri May 2019 A1
Foreign Referenced Citations (102)
Number Date Country
101929921 Dec 2010 CN
103818204 May 2014 CN
104183153 Dec 2014 CN
104485013 Apr 2015 CN
104691544 Jun 2015 CN
103049159 Jul 2015 CN
105513412 Apr 2016 CN
105588563 May 2016 CN
105599703 May 2016 CN
105774691 Jul 2016 CN
106027749 Oct 2016 CN
205719000 Nov 2016 CN
106598630 Apr 2017 CN
106782572 May 2017 CN
106945662 Jul 2017 CN
104290751 Jan 2018 CN
3844340 Jul 1990 DE
19817142 Oct 1999 DE
19821163 Nov 1999 DE
102005006966 Sep 2005 DE
102006058213 Jul 2008 DE
102009024083 Jul 2010 DE
102009051055 Jul 2010 DE
102012008858 Nov 2012 DE
102009060169 Jun 2013 DE
102011122421 Jun 2013 DE
102011080148 Jul 2013 DE
102012200725 Jul 2013 DE
102013004214 Sep 2013 DE
102010034129 Oct 2013 DE
102012215218 Jun 2014 DE
102012222972 Jun 2014 DE
102013213064 Jan 2015 DE
102014009077 Feb 2015 DE
102013016342 Apr 2015 DE
102013019771 May 2015 DE
102013019904 May 2015 DE
102014007915 Dec 2015 DE
102014011802 Feb 2016 DE
102014011864 Feb 2016 DE
102014111570 Feb 2016 DE
102014015655 Apr 2016 DE
102014226458 Jun 2016 DE
102015209976 Dec 2016 DE
102015221224 May 2017 DE
102016011916 Jun 2017 DE
102016125282 Jul 2017 DE
102016211021 Dec 2017 DE
102016214433 Feb 2018 DE
102016224529 Jun 2018 DE
102016226008 Jun 2018 DE
2289768 Mar 2011 EP
2295281 Mar 2011 EP
2653367 Oct 2013 EP
2768718 Mar 2016 EP
2620351 Jun 2016 EP
2135788 Jun 2017 EP
3021798 Dec 2012 FR
3021798 Dec 2015 FR
2344481 Jun 2000 GB
2481324 Jun 2011 GB
2491720 Dec 2012 GB
2497836 Dec 2012 GB
2517835 Mar 2015 GB
2534471 Jul 2016 GB
2000293797 Oct 2000 JP
2004142543 May 2004 JP
2004287884 Oct 2004 JP
2005193742 Jul 2005 JP
2009090850 Apr 2009 JP
2014125196 Jul 2014 JP
2014134082 Jul 2014 JP
5586450 Sep 2014 JP
5918683 May 2016 JP
2016119032 Jun 2016 JP
2018052188 Apr 2018 JP
20090040024 Apr 2009 KR
20100006714 Jan 2010 KR
20130106005 Sep 2013 KR
20160039460 Apr 2016 KR
20160051993 May 2016 KR
101641267 Jul 2016 KR
WO 2006064544 Jun 2006 WO
WO 2008055567 May 2008 WO
WO 2010006981 Jan 2010 WO
WO 2011141096 Nov 2011 WO
WO 2013056959 Apr 2013 WO
WO 2013123813 Aug 2013 WO
WO 2014103492 Jul 2014 WO
WO 2015068032 May 2015 WO
WO 2015193058 Dec 2015 WO
WO 2016046269 Mar 2016 WO
WO 2016128200 Aug 2016 WO
WO 2016134822 Sep 2016 WO
WO 2017062448 Apr 2017 WO
WO 2017073159 May 2017 WO
WO 2017096307 Jun 2017 WO
WO 2017096728 Jun 2017 WO
WO 2017097942 Jun 2017 WO
WO 2017112444 Jun 2017 WO
WO 2017118510 Jul 2017 WO
WO 2017125514 Jul 2017 WO
Non-Patent Literature Citations (21)
Entry
US 9,772,406 B2, 09/2017, Liu (withdrawn)
ChargeItSpot Locations, Find a Phone Charging Station Near You, retrieved at https://chargeitspot.com/locations/ on Nov. 28, 2017.
SafeCharge, Secure Cell Phone Charging Stations & Lockers, retrieved at https://www.thesafecharge.com on Nov. 28, 2017.
Alberto Broggi and Elena Cardarelli, Vehicle Detection for Autonomous Parking Using a Soft-Cascade ADA Boost Classifier, Jun. 8, 2014.
Al-Sherbaz, Ali et al., Hybridisation of GNSS with other wireless/sensors technologies on board smartphones to offer seamless outdoors-indoors positioning for LBS applications, Apr. 2016, 3 pages.
Automatically Into the Parking Space—https://www.mercedes-benz.com/en/mercedes-benz/next/automation/automatically-into-the-parking-space/; Oct. 27, 2014.
Bill Howard, Bosch's View of the Future Car: Truly Keyless Entry, Haptic Feedback, Smart Parking, Cybersecurity, Jan. 9, 2017, 8 Pages.
Core System Requirements Specification (SyRS), Jun. 30, 2011, Research and Innovative Technology Administration.
Daimler AG, Remote Parking Pilot, Mar. 2016 (3 Pages).
Jingbin Liu, IParking: An Intelligent Indoor Location-Based Smartphone Parking Service, Oct. 31, 2012, 15 pages.
Land Rover develops a smartphone remote control for its SUVs, James Vincent, Jun. 18, 2015.
Land Rover, Land Rover Remote Control via Iphone RC Range Rover Sport Showcase—Autogefühl, Retrieved from https://www.youtube.com/watch?v=4ZaaYNaEFio (at 43 seconds and 1 minute 42 seconds), Sep. 16, 2015.
Search Report dated Jan. 19, 2018 for GB Patent Application No. 1711988.4 (3 pages).
Search Report dated Jul. 11, 2017 for GB Patent Application No. GB 1700447.4 (3 pages).
Search Report dated May 21, 2018 for Great Britain Patent Application No. GB 1800277.4 (5 pages).
Search Report dated Nov. 22, 2018 for GB Patent Application No. GB 1809829.3 (6 pages).
Search Report dated Nov. 27, 2018 for GB Patent Application No. GB 1809112.4 (3 pages).
Search Report dated Nov. 28, 2017, for GB Patent Application No. GB 1710916.6 (4 Pages).
Search Report dated Nov. 28, 2018 for GB Patent Application No. GB 1809842.6 (5 pages).
Search Report dated Oct. 10, 2018 for GB Patent Application No. 1806499.8 (4 pages).
Tesla Model S Owner's Manual v2018.44. Oct. 29, 2018.
Related Publications (1)
Number Date Country
20190162792 A1 May 2019 US