Vehicle atmosphere lamp control method, device and system and storage medium

Abstract

The invention discloses a vehicle atmosphere lamp control method, device and system and a storage medium. The method comprises the steps that real-time electric quantity data and charging power of mobile equipment are obtained through a wireless charging module; determining an atmosphere lamp color corresponding to the real-time electric quantity by adopting a preset algorithm according to the real-time electric quantity data; determining the breathing frequency of the atmosphere lamp according to the charging power, so that the breathing frequency is consistent with the change trend of the charging power; and controlling the atmosphere lamp according to the determined atmosphere lamp color and breathing frequency. By adopting the scheme provided by the invention, the electric quantity change can be intuitively fed back through the gradual change of the color of the atmosphere lamp, and the charging power can be intuitively reflected through the breathing frequency of the atmosphere lamp, so that the visual effect of the atmosphere lamp is linked with the wireless charging process of the mobile terminal; therefore, the distraction of the driver due to visual confirmation of the charging state can be reduced, the driving safety is improved, meanwhile, the mobile phone state information can be naturally integrated into the driving environment, and the user experience is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of automobile electronics, in particular to a vehicle atmosphere lamp control method, device, system and storage medium. BACKGROUND

[0002] With the development of automobile intelligence and electrification, mobile phone wireless charging and atmosphere lamp have become common configurations of modern cars. However, the atmosphere lamp in the prior art is mostly controlled in a fixed mode or triggered simply, such as according to the state changes of the door switch, vehicle speed and the like, and cannot be effectively linked with the charging process of the mobile terminal.

[0003] Therefore, it is urgent to provide a vehicle atmosphere lamp control method, so as to link the visual effect of the atmosphere lamp with the wireless charging process of the mobile terminal. SUMMARY

[0004] The present application provides a vehicle atmosphere lamp control method, device, system and storage medium, which links the visual effect of the atmosphere lamp with the wireless charging process of the mobile terminal.

[0005] The present application provides a vehicle atmosphere lamp control method, which comprises: obtaining real-time power data and charging power of a mobile device through a wireless charging module; determining the atmosphere lamp color corresponding to the real-time power according to the real-time power data by using a preset algorithm; determining the breathing frequency of the atmosphere lamp according to the charging power, so that the breathing frequency is consistent with the change trend of the charging power; controlling the atmosphere lamp according to the determined atmosphere lamp color and breathing frequency.

[0006] The present application has the beneficial effect that the change of the power can be intuitively fed back through the gradient of the atmosphere lamp color, and the charging power can be intuitively reflected through the breathing frequency of the atmosphere lamp, so that the visual effect of the atmosphere lamp is linked with the wireless charging process of the mobile terminal, thereby reducing the distraction of the driver caused by visually confirming the charging state, improving the driving safety, and naturally integrating the mobile phone state information into the driving environment to improve the user experience.

[0007] In one embodiment, the preset algorithm is a segmented color mapping algorithm, which divides the atmosphere lamp color into multiple intervals according to the power percentage, each interval corresponding to one or more gradient effects of colors, so as to realize intuitive visual feedback of the power change.

[0008] The present embodiment has the beneficial effect that the segmented color mapping algorithm is used to realize intuitive visual feedback of the power change and enhance user perception.

[0009] In one embodiment, determining the breathing frequency of the ambient light based on the charging power, so that the breathing frequency is consistent with the trend of charging power changes, includes: The charging power is divided into multiple levels, each corresponding to a preset breathing frequency range; Determine the base value of the ambient light's breathing frequency based on the current charging power level range; The base value of the breathing frequency is finely adjusted according to the specific value of the charging power to achieve a precise match between the breathing frequency and the changes in the charging power.

[0010] The beneficial effect of this embodiment is that it precisely matches the breathing frequency of the ambient light according to the charging power, thereby improving the visual effect and comfort.

[0011] In one embodiment, the method further includes: Receive user settings for ambient light brightness and interactive ambient light areas; Based on the aforementioned settings, the ambient light brightness reference value and the reference value of the interactive ambient light area are determined and stored.

[0012] The beneficial effect of this embodiment is that it allows users to customize the ambient light brightness and interactive area to meet personalized needs.

[0013] In one embodiment, the method further includes: Obtain the current system time information through the vehicle-mounted RTC module; Determine whether the conditions for triggering night mode are met based on the current system time; When the conditions for triggering night mode are met, the ambient light brightness will be adjusted to match the nighttime environment.

[0014] The beneficial effect of this embodiment is that by introducing a night mode, the ambient light brightness is automatically reduced to adapt to the night driving environment and improve driving safety.

[0015] In one embodiment, adjusting the ambient light brightness to a level suitable for the nighttime environment includes: Generate brightness correction coefficients; The first PWM duty cycle corresponding to the nighttime environment is determined by the brightness correction coefficient. By adjusting the current duty cycle to the first PWM duty cycle, the ambient light brightness can be adjusted to the first target brightness.

[0016] The beneficial effect of this embodiment is that it can accurately adjust the brightness of the ambient light at night by using a brightness correction coefficient, thereby improving the user experience.

[0017] In one embodiment, the method further includes: When the user's custom brightness coefficient is received, the second PWM duty cycle corresponding to the nighttime environment is determined by the brightness correction coefficient and the user's custom brightness coefficient. By adjusting the current duty cycle to the second PWM duty cycle, the ambient light brightness can be adjusted to the second target brightness.

[0018] The beneficial effect of this embodiment is that it allows users to customize the ambient light brightness in night mode, further enhancing the personalized experience.

[0019] This application also provides a vehicle ambient lighting control device for executing the vehicle ambient lighting control method described in any of the above embodiments, including: The acquisition module is used to acquire real-time battery data and charging power of the mobile device through the wireless charging module; The first determining module is used to determine the ambient light color corresponding to the real-time power consumption based on the real-time power consumption data and using a preset algorithm. The second determining module is used to determine the breathing frequency of the ambient light based on the charging power, so that the breathing frequency is consistent with the trend of charging power change. The control module is used to control the ambient light according to the determined ambient light color and breathing frequency.

[0020] This application also provides a vehicle ambient lighting control system, including: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to implement the vehicle ambient lighting control method described in any of the above embodiments.

[0021] This application also provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by a processor corresponding to the vehicle ambient lighting control system, enables the vehicle ambient lighting control system to implement the vehicle ambient lighting control method described in any of the above embodiments.

[0022] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0023] The technical solution of this application will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0024] The accompanying drawings are provided to further illustrate the present application and form part of the specification. They are used together with the embodiments of the present application to explain the application and do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of a vehicle ambient lighting control method according to an embodiment of this application; Figure 2 This is a block diagram of a vehicle ambient lighting control device according to an embodiment of this application; Figure 3 This is a schematic diagram of the hardware structure of a vehicle ambient lighting control system according to one embodiment of this application. Detailed Implementation

[0025] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application.

[0026] Figure 1 This is a flowchart of a vehicle ambient lighting control method according to an embodiment of this application, such as... Figure 1 As shown, the method can be implemented as follows: S101-S104: In step S101, the real-time power data and charging power of the mobile device are obtained through the wireless charging module; In step S102, the ambient light color corresponding to the real-time power consumption is determined using a preset algorithm based on the real-time power consumption data. In step S103, the breathing frequency of the ambient light is determined based on the charging power so that the breathing frequency is consistent with the trend of charging power change. In step S104, the ambient light is controlled according to the determined ambient light color and breathing frequency.

[0027] In this application, a wireless charging module acquires real-time power data and charging power of a mobile device. Specifically, when a mobile device (such as a smartphone) is placed in an in-vehicle wireless charging area, the wireless charging module establishes a communication connection with the mobile device via the Qi protocol or other compatible protocols. The wireless charging module sends a handshake signal, and after the mobile device responds, both enter the power transmission phase. The wireless charging module acquires the mobile device's power data in real time through the charging status packet of the Qi protocol. The power data includes the battery percentage (0-100%) and charging power (unit: watts, W). The data sampling frequency is set to 10Hz, that is, the power data is updated every 100 milliseconds to ensure the real-time performance and accuracy of the data. The wireless charging module receives specific fields from the device's communication data packets and extracts information such as power status, charging status, battery level, charging efficiency, and error codes. The received data is verified, and a retry mechanism is triggered if the data verification fails three times consecutively, with a maximum of five retries to ensure data reliability. The wireless charging module transmits the parsed power data and charging power to the central control unit through a specific interface (such as CAN bus, LIN bus, or dedicated serial port).

[0028] Based on the real-time battery data, a preset algorithm is used to determine the ambient light color corresponding to the real-time battery level. Specifically, the preset algorithm is a segmented color mapping algorithm, which divides the ambient light color into multiple intervals according to the battery percentage. Each interval corresponds to a gradient effect of one or more colors to achieve intuitive visual feedback on battery changes.

[0029] For example, after receiving the power data transmitted by the wireless charging module, the central control unit uses a segmented RGB interpolation algorithm to determine the ambient light color. The algorithm divides the power percentage into three ranges: 0-20%, 20-80%, and 80-100%, each range corresponding to a different color gradient effect, as detailed below: 0-20% battery: Ambient light displays a stable red color with an RGB color value of (255, 0, 0).

[0030] 20-80% battery level: The ambient light transitions from red to blue. Let the current battery percentage be P (20 ≤ P ≤ 80), and the normalization factor be (P-20) / 60. Then the RGB color value is (255). (1-(P-20) / 60), 0, 255 (P-20) / 60).

[0031] 80-100% battery: The ambient light transitions from blue to green. Let the current battery percentage be P (80 ≤ P ≤ 100), and the normalization factor be (P - 80) / 20. Then the RGB color value is (0, 255). (1-(P-80) / 20), 255 (P-80) / 20).

[0032] When the mobile device's battery reaches 100%, the central control unit sends a stop charging command (via the Qi protocol), and the ambient light switches to a fixed green constant light (0, 255, 0) to indicate that charging is complete.

[0033] The breathing frequency of the ambient light is determined based on the charging power to ensure that the breathing frequency is consistent with the trend of charging power changes. Specifically, the charging power is divided into multiple level intervals, each interval corresponding to a preset breathing frequency range. The base value of the ambient light's breathing frequency is determined based on the level interval to which the current charging power belongs. The base value of the breathing frequency is then fine-tuned based on the specific value of the charging power to achieve a precise match between the breathing frequency and the changes in charging power.

[0034] The ambient lighting is controlled based on the determined ambient light color and breathing frequency. The specific control process is as follows: Based on the calculated ambient light color and breathing frequency, corresponding ambient light control commands are generated. These commands include color values ​​(RGB format), breathing frequency (unit: breaths / second), and a brightness correction factor (for night mode). The ambient light driver unit receives these commands from the central control unit via a specific interface (such as CAN bus, LIN bus, or dedicated serial port). It parses the commands, extracting the color values, breathing frequency, and brightness correction factor. The color of the RGB ambient light strip is adjusted based on the parsed color values. The brightness gradient effect of the ambient light is adjusted according to the breathing frequency to achieve a breathing effect. If a brightness correction factor (for night mode) is received, the brightness of the ambient light is adjusted accordingly to avoid glare at night.

[0035] If the user sets the ambient light brightness or interactive ambient light area through the vehicle's infotainment system, the ambient light control commands can be updated according to the user's settings to achieve personalized adjustments.

[0036] The beneficial effects of this application are as follows: the gradual change of ambient light color can intuitively reflect the change in battery level, and the breathing frequency of the ambient light can intuitively reflect the charging power. This allows the visual effect of the ambient light to be linked with the wireless charging process of the mobile terminal, thereby reducing the driver's attention being distracted by visually checking the charging status, improving driving safety, and at the same time, it can naturally integrate the mobile phone status information into the driving environment, improving the user experience.

[0037] In one embodiment, the preset algorithm is a segmented color mapping algorithm, which divides the ambient light color into multiple intervals based on the battery percentage. Each interval corresponds to a gradient effect of one or more colors to achieve intuitive visual feedback on battery changes.

[0038] The beneficial effect of this embodiment is that it uses a segmented color mapping algorithm to achieve intuitive visual feedback on power changes, thereby enhancing user perception.

[0039] In one embodiment, step S103 above can be implemented as the following steps A1-A3: In step A1, the charging power is divided into multiple level ranges, each range corresponding to a preset breathing frequency range; In step A2, the base value of the ambient light's breathing frequency is determined according to the current charging power level range. In step A3, the base value of the breathing frequency is fine-tuned according to the specific value of the charging power to achieve a precise match between the breathing frequency and the changes in the charging power.

[0040] In this embodiment, the charging power is divided into multiple levels, such as low power (0-5W), medium power (5-10W), high power (10-15W), and ultra-high power (>15W). Each level corresponds to a preset breathing frequency range, such as low power corresponding to slow breathing (1 breath / second) and high power corresponding to fast breathing (3 breaths / second). Based on the current charging power level, the central control unit determines the base value of the ambient light's breathing frequency. The base value is then fine-tuned according to the specific charging power value. For example, in the medium power level, when the charging power is 7W, the base value of the breathing frequency is 2 breaths / second, but it can be fine-tuned to 2.2 breaths / second or 1.8 breaths / second as needed. The fine-tuning algorithm can use linear interpolation or a nonlinear function to achieve a precise match between the breathing frequency and the changes in charging power. The central control unit sends the calculated breathing frequency to the RGB ambient light strip via the ambient light driver module. The ambient light driver module controls the brightness gradient effect of the ambient light according to the received breathing frequency command, achieving the breathing effect.

[0041] The beneficial effect of this embodiment is that it precisely matches the breathing frequency of the ambient light according to the charging power, thereby improving the visual effect and comfort.

[0042] In one embodiment, the method may also be implemented as the following steps B1-B2: In step B1, the user's settings for ambient light brightness and interactive ambient light area are received; In step B2, the ambient light brightness reference value and the reference value of the interactive ambient light area are determined and stored according to the setting operation.

[0043] The beneficial effect of this embodiment is that it allows users to customize the ambient light brightness and interactive area to meet personalized needs.

[0044] In one embodiment, the method may also be implemented as the following steps C1-C3: In step C1, the current system time information is obtained through the vehicle-mounted RTC module; In step C2, it is determined whether the conditions for triggering night mode are met based on the current system time; In step C3, when the night mode trigger condition is met, the ambient light brightness is adjusted to a level suitable for the nighttime environment.

[0045] The beneficial effect of this embodiment is that by introducing a night mode, the ambient light brightness is automatically reduced to adapt to the night driving environment and improve driving safety.

[0046] In one embodiment, the night mode trigger condition is based on a preset time range or the ambient light intensity detected by a light sensor. When the condition is met, the ambient light brightness is automatically reduced to make the ambient light brightness softer, so as to adapt to the night driving environment.

[0047] In one embodiment, step C3 above can be implemented as the following steps D1-D3: In step D1, a brightness correction coefficient is generated; In step D2, the first PWM duty cycle corresponding to the nighttime environment is determined by the brightness correction coefficient; In step D3, the ambient light brightness is adjusted to the first target brightness by adjusting the current duty cycle to the first PWM duty cycle.

[0048] In this embodiment, a brightness correction coefficient is generated; a first PWM duty cycle corresponding to the nighttime environment is determined by the brightness correction coefficient; and the ambient light brightness is adjusted to the first target brightness by adjusting the current duty cycle to the first PWM duty cycle.

[0049] For example, in night mode brightness adjustment, the brightness needs to be automatically reduced from 20:00 to 6:00 to avoid glare; the time window determination checks whether the current time meets the condition 20:00 ≤ current time ≤ 6:00. Based on industry standards, time-related functions should maintain logical consistency, and night mode should cover the entire dark period; special dates require special handling. If the time window condition is met, a night mode enable signal is generated and broadcast to each ambient light control module via the CAN bus; the signal duration is the entire time window.

[0050] If the determination result is night mode, based on the duty cycle mapping principle: the PWM duty cycle and the ambient light brightness are linearly related, the PWM night duty cycle is obtained by reducing the PWM base duty cycle through a brightness correction coefficient, thereby realizing automatic brightness adjustment of the ambient light in night mode. ; Brightness correction factor It is a dimensionless scaling factor used to dynamically adjust the brightness of ambient lights, mathematically defined as: (Standard brightness:) Reduce brightness: Increase brightness: ) The beneficial effect of this embodiment is that it can accurately adjust the brightness of the ambient light at night by using a brightness correction coefficient, thereby improving the user experience.

[0051] In one embodiment, the method may also be implemented as the following steps E1-E2: In step E1, when the user's custom brightness coefficient is received, the second PWM duty cycle corresponding to the nighttime environment is determined by the brightness correction coefficient and the user's custom brightness coefficient. In step E2, the ambient light brightness is adjusted to the second target brightness by adjusting the current duty cycle to the second PWM duty cycle.

[0052] In this embodiment, when a user-defined brightness coefficient is received, the second PWM duty cycle corresponding to the nighttime environment is determined jointly by the brightness correction coefficient and the user-defined brightness coefficient. By adjusting the current duty cycle to the second PWM duty cycle, the ambient light brightness is adjusted to the second target brightness. For example, if the user still finds the ambient light brightness in nighttime mode dazzling, they can further adjust it through the vehicle system module by adjusting the user brightness coefficient. The range of the user brightness coefficient is 0-1 (the system initially sets a default value), and it can be customized through the vehicle system according to the user's needs to set the user's preferred ambient light brightness. Ambient light brightness adjustment by the user: .

[0053] The beneficial effect of this embodiment is that it allows users to customize the ambient light brightness in night mode, further enhancing the personalized experience.

[0054] Figure 2 This is a block diagram of a vehicle ambient lighting control device according to one embodiment of this application, such as... Figure 2 As shown, the device includes the following modules: The acquisition module 201 is used to acquire real-time power data and charging power of the mobile device through the wireless charging module; The first determining module 202 is used to determine the ambient light color corresponding to the real-time power consumption based on the real-time power consumption data and a preset algorithm. The second determining module 203 is used to determine the breathing frequency of the ambient light based on the charging power, so that the breathing frequency is consistent with the trend of charging power change. The control module 204 is used to control the ambient light according to the determined ambient light color and breathing frequency.

[0055] Figure 3 This is a schematic diagram of the hardware structure of a vehicle ambient lighting control system according to one embodiment of this application, as shown below. Figure 3As shown, the vehicle ambient lighting control system includes: At least one processor 320; and, Memory 304 communicatively connected to the at least one processor 320; wherein, The memory 304 stores instructions that can be executed by the at least one processor 320 to implement the vehicle ambient lighting control method described in any of the above embodiments.

[0056] Reference Figure 3 The vehicle ambient lighting control system 300 may include one or more of the following components: processing component 302, memory 304, power supply component 306, input / output (I / O) interface 308, sensor component 310, and communication component 312.

[0057] The processing component 302 typically controls the overall operation of the vehicle ambient lighting control system 300. The processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the method described above. Furthermore, the processing component 302 may include one or more modules to facilitate interaction between the processing component 302 and other components. The processor 320 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0058] Memory 304 is configured to store various types of data to support the operation of the vehicle ambient lighting control system 300. Examples of this data include instructions for any application or method operating on the vehicle ambient lighting control system 300. Memory 304 can be an internal storage unit of the terminal device, such as a hard disk or memory of the terminal device. Memory 304 can also be an external storage device of the terminal device, such as a plug-in hard disk equipped on the terminal device. Memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. Memory 304 is used to store programs and data required by this application. Memory 304 can also be used to temporarily store data that has been output or will be output.

[0059] The power supply assembly 306 provides power to various components of the vehicle ambient lighting control system 300. The power supply assembly 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the vehicle ambient lighting control system 300.

[0060] I / O interface 308 provides an interface between processing component 302 and peripheral interface modules, such as keyboards, click wheels, buttons, etc.

[0061] The sensor assembly 310 includes one or more sensors for providing status assessments of various aspects of the vehicle ambient lighting control system 300. Additionally, the sensor assembly 310 can detect the on / off state of the vehicle ambient lighting control system 300, the relative positioning of components, and the operational status of the vehicle ambient lighting control system 300 or a component of the vehicle ambient lighting control system 300. In some embodiments, the sensor assembly 310 may include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, or a temperature sensor, etc.

[0062] Communication component 312 is configured to enable the vehicle ambient lighting control system 300 to provide wired or wireless communication capabilities with other devices and cloud platforms. The vehicle ambient lighting control system 300 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 316 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 316 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0063] In an exemplary embodiment, the vehicle ambient lighting control system 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the vehicle ambient lighting control method described in any of the above embodiments.

[0064] This application also provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by a processor corresponding to the vehicle ambient lighting control system, enables the vehicle ambient lighting control system to implement the vehicle ambient lighting control method described in any of the above embodiments.

[0065] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0066] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1A device that provides the functions specified in one or more boxes.

[0067] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0069] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for controlling vehicle ambient lighting, characterized in that, include: The real-time battery level and charging power of the mobile device are obtained through the wireless charging module. Based on the real-time battery data, a preset algorithm is used to determine the ambient light color corresponding to the real-time battery level; The breathing frequency of the ambient light is determined based on the charging power, so that the breathing frequency is consistent with the trend of charging power change. The ambient lighting is controlled based on the determined ambient light color and breathing frequency.

2. The method as described in claim 1, characterized in that, The preset algorithm is a segmented color mapping algorithm. The algorithm divides the ambient light color into multiple intervals according to the battery percentage. Each interval corresponds to a gradient effect of one or more colors to achieve intuitive visual feedback on battery changes.

3. The method as described in claim 1, characterized in that, The step of determining the breathing frequency of the ambient light based on the charging power, so that the breathing frequency is consistent with the trend of charging power change, includes: The charging power is divided into multiple levels, each corresponding to a preset breathing frequency range; Determine the base value of the ambient light's breathing frequency based on the current charging power level range; The base value of the breathing frequency is finely adjusted according to the specific value of the charging power to achieve a precise match between the breathing frequency and the changes in the charging power.

4. The method as described in claim 3, characterized in that, The method further includes: Receive user settings for ambient light brightness and interactive ambient light areas; Based on the aforementioned settings, the ambient light brightness reference value and the reference value of the interactive ambient light area are determined and stored.

5. The method as described in claim 1, characterized in that, The method further includes: Obtain the current system time information through the vehicle-mounted RTC module; Determine whether the conditions for triggering night mode are met based on the current system time; When the conditions for triggering night mode are met, the ambient light brightness will be adjusted to match the nighttime environment.

6. The method as described in claim 5, characterized in that, Adjusting the ambient light brightness to a level suitable for the nighttime environment includes: Generate brightness correction coefficients; The first PWM duty cycle corresponding to the nighttime environment is determined by the brightness correction coefficient. By adjusting the current duty cycle to the first PWM duty cycle, the ambient light brightness can be adjusted to the first target brightness.

7. The method as described in claim 6, characterized in that, The method further includes: When the user's custom brightness coefficient is received, the second PWM duty cycle corresponding to the nighttime environment is determined by the brightness correction coefficient and the user's custom brightness coefficient. By adjusting the current duty cycle to the second PWM duty cycle, the ambient light brightness can be adjusted to the second target brightness.

8. A vehicle ambient lighting control device, used to execute the vehicle ambient lighting control method as described in any one of claims 1-7, characterized in that, include: The acquisition module is used to acquire real-time battery data and charging power of the mobile device through the wireless charging module; The first determining module is used to determine the ambient light color corresponding to the real-time power level based on the real-time power data and a preset algorithm. The second determining module is used to determine the breathing frequency of the ambient light based on the charging power, so that the breathing frequency is consistent with the trend of charging power change. The control module is used to control the ambient light according to the determined ambient light color and breathing frequency.

9. A vehicle ambient lighting control system, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to implement the vehicle ambient lighting control method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor corresponding to the vehicle ambient lighting control system, the vehicle ambient lighting control system is able to implement the vehicle ambient lighting control method as described in any one of claims 1-7.

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