Intelligent collaborative power consumption management method and system for high-brush display module

By employing intelligent collaborative power management methods and material optimization, the power consumption, performance bottlenecks, and display quality issues of high-resolution, high-refresh-rate display modules have been resolved, resulting in reduced power consumption, improved image clarity, enhanced stability, and optimized system cost and compatibility.

CN121600877APending Publication Date: 2026-03-03SHENZHEN K&D TECHONOLOGY
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Patent Information

Application Number
CN202512012000.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-29
Publication Date
2026-03-03

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    Figure CN121600877A_ABST
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Abstract

The invention discloses an intelligent collaborative power consumption management method and system for a high-brush display module, and the method comprises the steps: 1, carrying out the power-on initialization of a system, and reading one or more preset power consumption mode configuration files; 2, monitoring a vertical synchronization signal from a host in real time, and calculating a current actual rendering frame rate; 3, performing real-time analysis on the input one-frame or multi-frame image data, calculating an average pixel level and a picture change area proportion, and judging whether the current content belongs to a static state, a common video state or a high-speed dynamic state; 4, querying a preset strategy table according to the frame rate in the step S2 and the content classification in the step S3 in combination with the currently selected system power consumption mode, and deciding a target refresh rate, a backlight brightness adjustment value and a driving chip core voltage gear; 5, generating a control signal, adjusting an internal register of the driving chip to change the refresh rate and the voltage, and controlling the backlight driver to adjust the brightness; and 6, during scene switching, repeating the steps S2 to S5 to realize dynamic switching.
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Description

Technical Field

[0001] This invention discloses a power consumption management method and system for display modules, particularly an intelligent collaborative power consumption management method and system for high refresh rate display modules, belonging to the field of high resolution liquid crystal display module manufacturing technology. Background Technology

[0002] With the growth of the e-sports, high-end office, and content creation markets, the market's performance requirements for laptop screens are becoming increasingly stringent. 2.5K and above resolutions combined with 120Hz-240Hz high refresh rates have become standard features for high-end products.

[0003] However, realizing this combination faces significant technical challenges: (1) Power consumption challenge: High resolution means more pixels, and high refresh rate means more frames need to be driven per unit time. The combination of the two leads to a sharp increase in the power consumption of the display module, which seriously affects the battery life of the laptop.

[0004] (2) Performance bottleneck: When processing massive data of 2.5K@240Hz, existing driver chips face problems such as insufficient bandwidth and processing delay, which may lead to frame loss, tearing or abnormal display.

[0005] (3) Challenges to display quality and stability: At high refresh rates, the rapid switching of liquid crystal molecules places extremely high demands on response speed. Traditional materials and designs are prone to causing motion blur in dynamic images. At the same time, high-frequency driving poses a threat to the long-term reliability of the panel (such as aging and image retention).

[0006] (4) Cost control problem: The use of high-performance driver ICs, new low-power materials and complex circuit design will inevitably increase costs, which is not conducive to product market competition.

[0007] Currently, although some manufacturers in the industry have launched products with similar specifications, there are still many problems to be solved in terms of system-level power consumption and performance balance optimization, accurate driving and compensation algorithms for high refresh rates, and cost-effective implementation solutions. Summary of the Invention

[0008] To address the aforementioned issues in existing high-resolution, high-refresh-rate display modules, such as: how to effectively reduce the overall power consumption of the display module in a 2.5K@120Hz-240Hz operating state; how to overcome the data bandwidth and processing speed bottlenecks of the driving system to ensure stable and smooth images; and how to improve the clarity of dynamic images and panel reliability under high refresh rates through material and process innovation, this invention provides an intelligent collaborative power management method and system for high refresh rate display modules. This method can significantly reduce system power consumption, improve the clarity of dynamic images, enhance display stability and image quality, and optimize system cost and compatibility.

[0009] The technical solution adopted by this invention to solve its technical problem is: an intelligent collaborative power consumption management method for high refresh rate display modules, the method comprising the following steps: Step S1: The system powers on and initializes, reading one or more preset power consumption mode configuration files; Step S2: Monitor the vertical synchronization signal from the host in real time and calculate the current actual rendering frame rate; Step S3: Perform real-time analysis on one or more frames of input image data, calculate the average pixel level and the proportion of the changing area of ​​the image, and determine whether the current content belongs to "static", "normal video" or "high-speed dynamic". Step S4: Based on the frame rate in step S2 and the content classification in step S3, and combined with the currently selected system power consumption mode, query the preset strategy table to determine the target refresh rate, backlight brightness adjustment value, and driver chip core voltage level. Step S5: Generate control signals, adjust the internal registers of the driver chip to change the refresh rate and voltage, and control the backlight driver to adjust the brightness; Step S6: When switching scenes, repeat steps S2-S5 to achieve dynamic switching.

[0010] An intelligent collaborative power consumption management system for high refresh rate display modules includes an intelligent power management adaptive controller, a preset reading unit, a frame rate monitoring unit, a screen content judgment unit, a lookup table unit, a control signal generation unit, and a switching unit. The preset read unit is used to initialize the system upon power-up and read one or more preset power mode configuration files; The frame rate monitoring unit is used to monitor the vertical synchronization signal from the host GPU in real time via the eDP interface and calculate the current actual rendering frame rate. The image content judgment unit is used to analyze one or more frames of input image data in real time using the image content analysis engine, calculate its average pixel level and the proportion of the image change area, and determine whether the current content belongs to "static", "ordinary video" or "high-speed dynamic". The lookup unit is used to classify the content of the unit based on the frame rate and screen content monitored by the frame rate monitoring unit, and combined with the currently selected system power consumption mode, to query the preset strategy table and decide on the target refresh rate. The control signal generation unit generates corresponding control signals, adjusts the internal registers of the driver IC via the I2C / SPI interface to change the refresh rate and voltage, and controls the backlight driver to adjust the brightness via PWM signals. The switching unit is used to repeat the preset reading unit, frame rate monitoring unit, screen content judgment unit, table lookup unit and control signal generation unit content when switching scenes (such as switching from a document to a game) to achieve seamless dynamic switching.

[0011] The technical solution adopted by the present invention to solve its technical problem further includes: In step S6, the transition time of the switching process is set to the millisecond level.

[0012] The liquid crystal panel in the display module uses a liquid crystal material with low rotational viscosity and high dielectric anisotropy, and is used in conjunction with a polyimide (PI) alignment layer, which can provide a more stable pretilt angle that facilitates the rapid flipping of liquid crystal molecules.

[0013] The transition time of the switching process in the switching unit is set to the millisecond level.

[0014] The liquid crystal panel in the display module uses a liquid crystal material with low rotational viscosity and high dielectric anisotropy, and is used in conjunction with a polyimide (PI) alignment layer, which can provide a more stable pretilt angle that facilitates the rapid flipping of liquid crystal molecules.

[0015] The intelligent power management adaptive controller includes a frame rate detection circuit, a screen content analysis engine, and a control interface with the driver IC and backlight driver.

[0016] The aforementioned intelligent power management adaptive controller is integrated within the timing controller or a separate chip.

[0017] The beneficial effects of this invention are: (1) Significantly reduce system power consumption: By adopting intelligent collaborative power management architecture, the refresh rate and backlight power can be automatically reduced in non-gaming scenarios (such as office work and web browsing). The actual test results show that the overall battery life can be improved by 15%-25% and the standby time by 22%. The high-frequency narrow pulse backlight driver and the local dimming collaborative technology also have higher electro-optical conversion efficiency.

[0018] (2) Improve the clarity of dynamic images: The present invention is based on content prediction-based overdrive and response time compensation (RTC) algorithms to more accurately compensate for liquid crystal response. Combined with fast-response liquid crystal materials applied to high refresh rate panels and fast-response materials of alignment layer technology, the MPRT (Motion Response Time) can be significantly reduced, for example, from more than 7ms to less than 5ms, effectively reducing the ghosting phenomenon in high-speed games.

[0019] (3) Enhanced display stability and image quality: High-frequency narrow pulse backlight driving and local dimming synergy technology reduce flicker and halo under high refresh rates, and improve HDR effect. Fast-response liquid crystal materials and alignment layer technology applied to high refresh rate panels improve the long-term reliability of the panel under high-frequency driving and reduce the risk of image retention.

[0020] (4) Optimize system cost and compatibility: The intelligent collaborative power management architecture and the content prediction-based over-driver and response time compensation (RTC) algorithms mainly achieve performance improvement through algorithm and architecture optimization, which reduces the dependence on extremely expensive hardware (such as top-tier driver ICs) to a certain extent. The adaptive mechanism of the intelligent collaborative power management architecture is also more compatible with host platforms of different performance levels.

[0021] The present invention will be further described below with reference to the accompanying drawings and specific embodiments. Attached Figure Description

[0022] Figure 1 This is a system architecture block diagram of the display module in this invention.

[0023] Figure 2 This is a flowchart of the intelligent collaborative power consumption management method in this invention.

[0024] Figure 3 This diagram illustrates a comparison of the effects of traditional OD compensation and the content-prediction-based dynamic OD compensation of this invention.

[0025] Figure 4 This is a schematic diagram illustrating the synchronization relationship between the high-frequency narrow pulse backlight driving waveform and the timing of the liquid crystal switch (Gate) in this invention.

[0026] Figure 5 This is a schematic diagram comparing the novel fast-response liquid crystal molecule structure of this invention with the traditional liquid crystal molecule structure. Detailed Implementation

[0027] This embodiment is a preferred embodiment of the present invention. All other embodiments that are the same as or similar to this embodiment in principle and basic structure are within the protection scope of the present invention.

[0028] This invention primarily protects a power consumption management method for display modules supporting high resolution and variable high refresh rates. It is a comprehensive technical solution integrating hardware architecture innovation, driver algorithm optimization, and the application of novel materials. The core features of this invention include: (1) Intelligent collaborative power management architecture: In the display module driving system, an intelligent power management unit (PMU) and a frame rate / resolution adaptive controller are added or integrated to form an intelligent collaborative power management architecture. This architecture can receive the rendering frame rate signal from the host GPU in real time and analyze the content characteristics of the current display screen (including static text, dynamic video, high-speed games) and dynamically adjust the refresh rate of the display panel (switching between multiple levels such as 120Hz, 144Hz, 165Hz, 240Hz), backlight brightness and core voltage of the driver chip (when the whole machine enters sleep mode, TCON will send a control signal to the PMU chip to turn off all output voltages and keep only one I / O voltage to keep the PMU in deep sleep mode. When the whole machine wakes up from sleep mode, the PMU receives the enable signal sent by TCON and can quickly enter normal operation, which can improve the standby time by 22%).

[0029] In this embodiment, the analysis of the content characteristics of the currently displayed screen involves first acquiring data. The engine caches two consecutive frames of image data (Frame N-1 and Frame N) in real time, calculates the grayscale value difference of corresponding pixels between the two frames, and calculates the sum of the absolute values ​​of all pixel differences, i.e., the sum of absolute differences (SAD). The calculated SAD value is divided by the total number of pixels on the screen to obtain the proportion of the screen's changing area. This proportion is compared with a preset threshold: if the change proportion is <5%, the current screen content is determined to be "static" (such as a document or static webpage); if 5% ≤ change proportion < 30%, it is determined to be "normal video" (such as a movie or streaming media); if the change proportion is ≥ 30%, it is determined to be "high-speed dynamic" (such as high-speed scrolling or competitive games).

[0030] In this embodiment, the dynamic adjustment of the display panel mainly includes the following operations: Step A, Refresh Rate Adjustment: The intelligent power management unit accesses the refresh rate control register inside the timing controller (TCON) or source driver IC via the I²C bus. Specific parameter values ​​corresponding to the target refresh rate (e.g., 120Hz, 144Hz) are written to this register (e.g., writing 0x78 to register 0x0A represents 120Hz), thereby changing the display timing at the hardware level and achieving refresh rate switching.

[0031] Step B, Backlight Brightness Adjustment: The intelligent power management unit generates a pulse width modulation (PWM) signal with a fixed frequency (e.g., 20kHz), but the duty cycle is linearly adjusted according to the target brightness value (e.g., the duty cycle is 90% when the brightness is adjusted to 90%). This PWM signal is directly output to the dimming pin (DIM) of the backlight driver IC, achieving stepless brightness adjustment by changing the average current of the LED strip.

[0032] Step C, Core power adjustment of the driver chip: The intelligent power management unit (PUM) communicates with the TCON via I²C. When the frame rate output by the TCON changes from low to high, the TCON will detect whether the core power voltage is within the TCON specification requirements. If it exceeds the specification (usually the voltage is attenuated), the TCON will write the voltage value (one step is 0.02V) to the core power register of the PMU via I²C until the voltage reaches the typ value required by the IC. Step D: Sleep power saving function. When TCON enters sleep mode, TCON will control the H / L state of the EN pin between TCON and PMU to make PMU also enter sleep mode. At this time, PMU only maintains the IOVCC voltage of each IC and turns off all other voltages. When TCON is woken up, TCON will first pull the EN pin of PMU to restore all voltages to normal output. This can directly save 90% of the power consumption of PMU circuit.

[0033] (2) Content prediction-based overdrive and response time compensation (RTC) algorithm: An advanced algorithm is built into the driver chip or executed by a coprocessor (usually integrated inside the driver IC). This algorithm not only relies on the traditional lookup table (LUT), but also performs pre-frame analysis on the input image data to predict the grayscale change trend of the pixels, thereby dynamically generating the optimal overdrive voltage parameters to match the actual response curve of the liquid crystal molecules, especially optimized for high-speed motion scenes.

[0034] In this embodiment, the advanced algorithm is typically implemented by dedicated hardware circuitry integrated within the driver chip (such as an ASIC) or by executing firmware through a microprocessor built into the chip. It mainly includes the following steps: Step A (Trend Prediction): The algorithm maintains the pixel data of the current frame (Frame N) and the previous frame (Frame N-1) in the cache of the driver chip. By comparing the grayscale values ​​of the same pixel position or adjacent blocks between the two frames, it calculates the direction of change (upward or downward) and the magnitude of change (ΔGray).

[0035] Step B (Parameter Calculation): Based on the predicted change magnitude (ΔGray), the algorithm does not directly call a single traditional lookup table (LUT). Instead, it uses one or more basic LUTs and interpolates or combines them with a lightweight mathematical model (such as a first- or second-order prediction model based on pixel change rate) to calculate in real time the optimal overdrive voltage value (V_od) applicable to each pixel or pixel region in the current frame. For example, for a pixel that rapidly jumps from a mid-gray level to a high gray level, the algorithm calculates a higher V_od than the basic LUT value to compensate for the inertia of the liquid crystal molecules.

[0036] Step C (Application and Feedback): The calculated V_od parameters are immediately applied to drive the corresponding pixels of the current frame (Frame N). Simultaneously, the system optionally includes a feedback mechanism: after applying V_od, the actual liquid crystal response is evaluated using internal sensors or image analysis of the next frame to determine if the target grayscale has been achieved, and the prediction model parameters are fine-tuned to achieve adaptive optimization.

[0037] In this embodiment, the prospective analysis of the input image data includes the following steps: Step A (Cached Data): The pixel grayscale data of the current frame (Frame N) and the previous frame (Frame N-1) are stored in the cache of the driver chip.

[0038] Step B (Calculate the first-order difference, i.e., velocity): For each pixel (or pixel block), calculate the change in its grayscale value between two consecutive frames, ΔG1 = G_N - G_{N-1}. ΔG1 represents the "velocity" or "direction" of the grayscale change (positive values ​​indicate an increase, negative values ​​indicate a decrease), G_N represents the grayscale value of the Nth pixel, and G_{N-1} represents the grayscale value of the (N-1)th pixel.

[0039] Step C (Calculate the second-order difference, i.e., acceleration): If a more precise trend is needed, another Frame N-2 can be cached, and the change in magnitude can be calculated, i.e., ΔG2 = G_{N-1} - G_{N-2}. Then, the acceleration a = ΔG1 - ΔG2 is calculated. a > 0 indicates that the change is accelerating, and a < 0 indicates that it is decelerating. G_{N-2} represents the grayscale value of the (N-2)th pixel.

[0040] In this embodiment, the dynamic generation of overdrive voltage parameters mainly includes the following steps: Step A: Historical Data Caching: The driver chip or coprocessor has a built-in cache that retains at least the grayscale data G_{N-2}, G_{N-1}, and G_N from the most recent three frames for each pixel (or pixel block). This step provides the data foundation for trend analysis.

[0041] Step B, Forward-looking analysis (calculating velocity and acceleration): This step concretizes the "analysis" into mathematical calculations: Rate of change (v2): v2 = G_N - G_{N-1}. Positive values ​​indicate an increase in grayscale, and negative values ​​indicate a decrease.

[0042] Acceleration change (a): a = v² - (GN-1 - GN-2). Positive values ​​indicate acceleration, and negative values ​​indicate deceleration.

[0043] By quantizing v2 and a, the system accurately grasps the dynamic change pattern of pixel grayscale, not just its position.

[0044] Step C, Trend Prediction (Predicting the Gray Scale of the Next Frame): Using the results of Step B above, predict the gray scale value G_pred of the pixel in the next frame (N+1).

[0045] The specific prediction model is: G_pred = G_N + v2 + k*a Where k is a preset coefficient (e.g., 0.5) used to adjust the weight of acceleration. This model is essentially a linear extrapolation, assuming that the grayscale changes with approximately uniform acceleration in a short time.

[0046] Step D: Generate optimal overdrive voltage parameters: This step incorporates trend prediction into voltage calculations to dynamically generate optimal parameters. The following are two feasible approaches: Option 1: Dynamic Adjustment Coefficient Method The system first queries a traditional static LUT based on the actual target grayscale G_{target} (i.e., the real data of frame N+1) given by the video signal and the current grayscale G_N to obtain a basic overdrive voltage V_base.

[0047] At the same time, based on the calculated v2 and a, the system queries another dynamic adjustment coefficient table or calculates a voltage adjustment amount ΔV using a formula.

[0048] The formula is: ΔV = α*v² + β*a Here, α and β are weighting coefficients pre-calibrated through experiments. For example, if v2 is large and positive, it indicates that the pixel is brightening rapidly, and a larger voltage than the static LUT value is needed to "push" it, so α is usually positive.

[0049] The final applied optimal overdrive voltage is: V_od = V_base + ΔV.

[0050] Option 2: Extended Lookup Table Method The system uses an extended three-dimensional or four-dimensional lookup table. The table's index includes not only (G_N, G_{target}), but also the quantization levels of v2 and a (e.g., classifying speeds into "high, medium, low, negative," etc.). That is, the optimal voltage V_od is obtained by directly querying LUT_ext(G_N, G_{target}, v2_q, a_q). This table is pre-programmed at the factory by testing the LCD response under different dynamic scenarios.

[0051] The force required for a liquid crystal molecule to transition from one state to another depends not only on the starting and ending points, but also on its current speed and acceleration (analogous to the different forces required for braking and starting). Traditional LUTs only consider the starting and ending points, while this method, by introducing two state variables, v2 and a, essentially establishes a simple "kinematic model" for the liquid crystal's response. This allows for a more accurate prediction of the required "thrust" (voltage), ensuring that its response curve coincides with the ideal rapid change trajectory.

[0052] The overdrive algorithm based on content prediction generates optimal voltage parameters through the following specific process: (a) Data preparation: Cache the grayscale values ​​of the target pixel in consecutive frames F_{N-2}, F_{N-1}, and F_N, where F_{N-2}, F_{N-1}, and F_N represent frame data.

[0053] (b) Trend analysis: Calculate the grayscale change rate v2=G_N-G_{N-1} and the acceleration a=v2-(G_{N-1}-G_{N-2}).

[0054] (c) Trend prediction: Based on the above parameters, the grayscale trend value of the next frame is predicted by the formula G_pred=G_N+v2+0.5*a, where G_pred represents the grayscale trend value.

[0055] (d) Dynamic voltage generation: Based on the actual target grayscale G_{target} and the current grayscale G_N of the video input, the base voltage V_base is obtained by querying the first lookup table; at the same time, the voltage adjustment amount ΔV is obtained by querying the second lookup table based on v2 and a; the final optimal overdrive voltage V_od = V_base + ΔV.

[0056] (e) Voltage application: Write V_od to the pixel.

[0057] By introducing velocity v2 and acceleration a, which reflect the instantaneous motion state of pixels, as adjustment factors, the algorithm can dynamically approximate the actual response curve of liquid crystal molecules, thereby obtaining better dynamic image quality at high refresh rates. (3) Fast-response liquid crystal materials and alignment layer technology applied to high refresh rate panels: In panel manufacturing, a liquid crystal material with a specific molecular structure is used, which has low rotational viscosity and high dielectric anisotropy. In conjunction with a polyimide (PI) alignment layer optimized by ultraviolet curing process, the alignment layer can provide a more stable pretilt angle that is conducive to the rapid flipping of liquid crystal molecules, thereby improving the liquid crystal response speed from a physical level.

[0058] In this embodiment, the optimization of the polyimide (PI) alignment layer includes the following four layers: A. Material optimization: Using polyimide containing specific photosensitive groups. Specific materials: Photosensitive polyimide (PI) is used. Its precursor (Polyamic Acid) or PI resin has pre-bonded photoactive groups. After absorbing ultraviolet light of a specific wavelength, these groups can undergo efficient [2+2] cycloaddition reaction or photocrosslinking reaction, directly forming covalent bonds between molecular chains, thereby curing and fixing the orientation direction of the liquid crystal.

[0059] B. Light source and optical path optimization: Use linearly polarized ultraviolet light (LPUV) for oblique illumination. Light source: an excimer lamp or high-pressure mercury lamp that emits a specific wavelength (e.g., λ=313nm, 365nm) and is equipped with a wire grid polarizer to produce highly polarized linearly polarized ultraviolet light.

[0060] Irradiation angle: Ultraviolet light is irradiated onto the PI-coated substrate at a non-perpendicular tilt angle (θ). This angle θ is typically between 40° and 80° (relative to the substrate normal).

[0061] Inclined linearly polarized light can excite anisotropic photochemical reactions of photosensitive groups in PI. Stronger inter-chain crosslinking occurs along the polarization direction, thus macroscopically inducing the formation of micro-grooves with a specific pretilt angle on the PI surface. The irradiation angle θ is the key factor in controlling the final pretilt angle.

[0062] C. Process parameter optimization: precise control of energy and environment Energy density (exposure): The cumulative energy of ultraviolet irradiation is strictly controlled, typically ranging from 100 mJ / cm² to 1000 mJ / cm². Too low an energy level results in insufficient cross-linking and unstable orientation; too high an energy level may lead to PI degradation.

[0063] Process temperature: The exposure process can be carried out at a controlled temperature from room temperature to below the glass transition temperature (Tg) of PI to balance the reaction rate and material stability.

[0064] Atmosphere control: Exposure can be carried out in an inert gas atmosphere (such as nitrogen) to avoid quenching of photoradical reactions by oxygen and ensure reaction efficiency.

[0065] D. Target performance optimization: Achieve a high and stable pretilt angle Target pretilt angle: This optimized process aims to achieve a high pretilt angle, typically targeting 88° to 89.5° (the pretilt angle is defined as the angle between the long axis of the liquid crystal molecule and the normal to the substrate plane; 90° is completely perpendicular). A higher pretilt angle means that the liquid crystal molecules are more "upright" in the initial state, requiring a shorter flipping distance under the influence of an electric field, thus directly improving the physical response speed.

[0066] Uniformity and stability: The optimized process results in stronger and more uniform anchoring energy in the PI layer. This not only improves the panel's response speed but also significantly enhances long-term reliability at high refresh rates, reducing the risk of image sticking caused by high-frequency driving.

[0067] Specifically, in panel manufacturing, the liquid crystal composition contains one or more negative liquid crystal compounds with a fluorinated benzene ring structure, a rotational viscosity (γ1) below 120 mPa•s, and an absolute value of dielectric anisotropy (Δε) greater than 8. In the alignment layer optimization process, the polyimide (PI) alignment layer is formed by coating a polyimide precursor solution containing photosensitive cinnamoyl side chains, as follows: Step A: After coating and completing the imidization heat treatment of the precursor, the PI layer is irradiated in a nitrogen atmosphere using linearly polarized ultraviolet light (LPUV) with a wavelength of 365nm.

[0068] Step B: During irradiation, the incident direction of the ultraviolet light forms a controllable tilt angle (θ) of 45° to 80° with the substrate normal. By precisely designing the θ angle, the final pretilt angle of the liquid crystal can be directly controlled.

[0069] Step C: Control the cumulative energy density of ultraviolet irradiation within the range of 200 mJ / cm² to 600 mJ / cm².

[0070] Through the aforementioned optimized process, a uniform and stable micro-orientation structure is formed on the surface of the PI layer, enabling the liquid crystal molecules to achieve a high and uniform pretilt angle (88.5°±0.5°). This high pretilt angle shortens the effective flipping stroke of the liquid crystal molecules under electric field driving, thereby reducing the liquid crystal response time (τ) by more than 20% at the physical material level. This allows it to match the high refresh rate driving requirements of 120Hz-240Hz and enhances the panel's anti-image retention capability. The present invention will be further described below using "An Intelligent Collaborative Power Consumption Management Method and System for High Refresh Rate Display Modules" as an example, and its specific implementation method is as follows: System Composition: The intelligent power management unit and adaptive controller are integrated into the timing controller (TCON) of the display module or a separate chip. This unit includes a frame rate detection circuit, a screen content analysis engine (which can be based on APL, histogram, or simple motion vector detection), and a control interface with the driver IC and backlight driver.

[0071] In this embodiment, the intelligent collaborative power consumption management method for high refresh rate display modules includes the following steps: Step S1: The system is powered on and initialized, and one or more preset power consumption mode configuration files (such as "energy saving mode", "balanced mode" and "performance mode").

[0072] Step S2: The adaptive controller monitors the vertical synchronization signal (VSYNC) from the host GPU in real time through the eDP interface and calculates the current actual rendering frame rate (e.g., 60Hz, 120Hz, 240Hz).

[0073] Step S3: The image content analysis engine performs real-time analysis on one or more frames of input image data, calculates the average pixel level (APL) and the proportion of the changing area of ​​the image, and determines whether the current content belongs to "static", "normal video" or "high-speed dynamic".

[0074] Step S4: Based on the frame rate from Step S2 and the content classification from Step S3, combined with the currently selected system power consumption mode, query the preset strategy table to determine the target refresh rate (e.g., under static text, even if the GPU outputs 240Hz, it will be reduced to 120Hz or lower), backlight brightness adjustment value, and driver IC core voltage level. The following is an example using a specific set of parameters: The strategy table can define that when the content is "static" (variable area < 5%) and the system mode is "energy saving," if the GPU frame rate is ≥ 120Hz, the panel refresh rate will be locked at 120Hz, the backlight brightness will be reduced by 10%, and the driver IC voltage will use a low-power level (e.g., 1.0V). In actual implementation, each parameter can be set or adjusted according to the actual situation.

[0075] Step S5: The intelligent power management unit generates corresponding control signals, adjusts the internal registers of the driver IC through the I2C / SPI interface to change the refresh rate and voltage, and controls the backlight driver to adjust the brightness through the PWM signal.

[0076] Step S6: When switching scenes (such as switching from a document to a game), repeat steps S2-S5 to achieve a seamless dynamic transition. The transition time can be set to milliseconds to avoid visual abruptness.

[0077] This invention belongs to the field of high-resolution liquid crystal display module manufacturing technology, and can be specifically applied to the driving system, panel process and power consumption management method of TFT-LCM (thin film transistor liquid crystal module) with a resolution of 2.5K (2560x1600) and above and supporting a variable high refresh rate of 120Hz to 240Hz for laptops.

[0078] In this embodiment, an intelligent collaborative power consumption management system for a high refresh rate display module is provided. The system includes an intelligent power management adaptive controller, a preset reading unit, a frame rate monitoring unit, a screen content judgment unit, a lookup table unit, a control signal generation unit, and a switching unit. The preset reading unit is used to initialize the system upon power-up and read one or more preset power consumption mode configuration files (such as "energy saving mode", "balanced mode", "performance mode").

[0079] The frame rate monitoring unit is used to monitor the vertical synchronization signal (VSYNC) from the host GPU in real time via the eDP interface using the adaptive controller, and calculate the current actual rendering frame rate (e.g., 60Hz, 120Hz, 240Hz).

[0080] The image content judgment unit is used to perform real-time analysis on one or more frames of input image data using the image content analysis engine, calculate its average pixel level (APL) and the proportion of the image change area, and determine whether the current content belongs to "static", "normal video" or "high-speed dynamic".

[0081] The lookup table unit is used to classify the content of the judgment unit based on the frame rate and screen content monitored by the frame rate monitoring unit. Combined with the currently selected system power consumption mode, it queries the preset strategy table to determine the target refresh rate (for example, under static text, even if the GPU output is 240Hz, it will be reduced to 120Hz or lower), the backlight brightness adjustment value, and the driver IC core voltage level. The following is an example of a set of specific parameters: The strategy table can define that when the content is "static" (variable area <5%) and the system mode is "energy saving", if the GPU frame rate is ≥120Hz, the panel refresh rate will be locked at 90Hz, the backlight brightness will be reduced by 10%, and the driver IC voltage will be set to a low power level (such as 1.0V). In actual implementation, each parameter can be set or adjusted according to the actual situation.

[0082] The control signal generation unit is used to generate corresponding control signals using the intelligent power management unit, adjust the internal registers of the driver IC through the I2C / SPI interface to change the refresh rate and voltage, and control the backlight driver to adjust the brightness through the PWM signal.

[0083] The switching unit is used to repeatedly execute the preset reading unit, frame rate monitoring unit, screen content judgment unit, lookup table unit, and control signal generation unit during scene transitions (such as switching from a document to a game), achieving seamless dynamic switching. The switching process can be set with a transition time in milliseconds to avoid visual abruptness.

[0084] In this embodiment, the liquid crystal panel in the display module uses a liquid crystal material with low rotational viscosity and high dielectric anisotropy, and is used in conjunction with a polyimide (PI) alignment layer, which can provide a more stable pretilt angle that facilitates the rapid flipping of liquid crystal molecules.

[0085] The intelligent power management adaptive controller is integrated into the timing controller (TCON) of the display module or a separate chip. This unit includes a frame rate detection circuit, a screen content analysis engine (which can be based on APL, histogram or simple motion vector detection), and a control interface with the driver IC and backlight driver.

[0086] (1) Significantly reduce system power consumption: By adopting intelligent collaborative power management architecture, the refresh rate and backlight power can be automatically reduced in non-gaming scenarios (such as office work and web browsing). The actual test results show that the overall battery life can be improved by 15%-25% and the standby time by 22%. The high-frequency narrow pulse backlight driver and the local dimming collaborative technology also have higher electro-optical conversion efficiency.

[0087] (2) Improve the clarity of dynamic images: The present invention is based on content prediction-based overdrive and response time compensation (RTC) algorithms to more accurately compensate for liquid crystal response. Combined with fast-response liquid crystal materials applied to high refresh rate panels and fast-response materials of alignment layer technology, the MPRT (Motion Response Time) can be significantly reduced, for example, from more than 7ms to less than 5ms, effectively reducing the ghosting phenomenon in high-speed games.

[0088] (3) Enhanced display stability and image quality: High-frequency narrow pulse backlight driving and local dimming synergy technology reduce flicker and halo under high refresh rates, and improve HDR effect. Fast-response liquid crystal materials and alignment layer technology applied to high refresh rate panels improve the long-term reliability of the panel under high-frequency driving and reduce the risk of image retention.

[0089] (4) Optimize system cost and compatibility: The intelligent collaborative power management architecture and the content prediction-based over-driver and response time compensation (RTC) algorithms mainly achieve performance improvement through algorithm and architecture optimization, which reduces the dependence on extremely expensive hardware (such as top-tier driver ICs) to a certain extent. The adaptive mechanism of the intelligent collaborative power management architecture is also more compatible with host platforms of different performance levels.

Claims

1. A method for intelligent collaborative power consumption management of high refresh rate display modules, characterized in that: The method includes the following steps: Step S1: The system powers on and initializes, reading one or more preset power consumption mode configuration files; Step S2: Monitor the vertical synchronization signal from the host in real time and calculate the current actual rendering frame rate; Step S3: Perform real-time analysis on one or more frames of input image data, calculate the average pixel level and the proportion of the changing area of ​​the image, and determine whether the current content belongs to "static", "normal video" or "high-speed dynamic". Step S4: Based on the frame rate in step S2 and the content classification in step S3, and combined with the currently selected system power consumption mode, query the preset strategy table to determine the target refresh rate, backlight brightness adjustment value, and driver chip core voltage level. Step S5: Generate control signals, adjust the internal registers of the driver chip to change the refresh rate and voltage, and control the backlight driver to adjust the brightness; Step S6: When switching scenes, repeat steps S2-S5 to achieve dynamic switching.

2. The intelligent collaborative power consumption management method for high refresh rate display modules according to claim 1, characterized in that: In step S6, the transition time of the switching process is set to the millisecond level.

3. The intelligent collaborative power consumption management method for high refresh rate display modules according to claim 1, characterized in that: The liquid crystal panel in the display module uses a liquid crystal material with low rotational viscosity and high dielectric anisotropy, and is used in conjunction with a polyimide (PI) alignment layer, which can provide a more stable pretilt angle that facilitates the rapid flipping of liquid crystal molecules.

4. An intelligent collaborative power consumption management system for high refresh rate display modules, characterized in that: The system includes an intelligent power management adaptive controller, a preset reading unit, a frame rate monitoring unit, a screen content judgment unit, a lookup table unit, a control signal generation unit, and a switching unit, wherein... The preset read unit is used to initialize the system upon power-up and read one or more preset power mode configuration files; The frame rate monitoring unit is used to monitor the vertical synchronization signal from the host GPU in real time via the eDP interface and calculate the current actual rendering frame rate. The image content judgment unit is used to analyze one or more frames of input image data in real time using the image content analysis engine, calculate its average pixel level and the proportion of the image change area, and determine whether the current content belongs to "static", "ordinary video" or "high-speed dynamic". The lookup unit is used to classify the content of the unit based on the frame rate and screen content monitored by the frame rate monitoring unit, and combined with the currently selected system power consumption mode, to query the preset strategy table and decide on the target refresh rate. The control signal generation unit generates corresponding control signals, adjusts the internal registers of the driver IC via the I2C / SPI interface to change the refresh rate and voltage, and controls the backlight driver to adjust the brightness via PWM signals. The switching unit is used to repeat the preset reading unit, frame rate monitoring unit, screen content judgment unit, table lookup unit and control signal generation unit content when switching scenes (such as switching from a document to a game) to achieve seamless dynamic switching.

5. The intelligent collaborative power consumption management system for high refresh rate display modules according to claim 4, characterized in that: The transition time of the switching process in the switching unit is set to the millisecond level.

6. The intelligent collaborative power consumption management system for high refresh rate display modules according to claim 4, characterized in that: The liquid crystal panel in the display module uses a liquid crystal material with low rotational viscosity and high dielectric anisotropy, and is used in conjunction with a polyimide (PI) alignment layer, which can provide a more stable pretilt angle that facilitates the rapid flipping of liquid crystal molecules.

7. The intelligent collaborative power consumption management system for high refresh rate display modules according to claim 4, characterized in that: The intelligent power management adaptive controller includes a frame rate detection circuit, a screen content analysis engine, and a control interface with the driver IC and backlight driver.

8. The intelligent collaborative power consumption management system for high refresh rate display modules according to claim 4, characterized in that: The aforementioned intelligent power management adaptive controller is integrated within the timing controller or a separate chip.