Vehicle LED color tolerance adjusting method and system based on partition pairing

Abstract

The invention provides an automotive LED color tolerance adjusting method and system based on partition pairing, and belongs to the technical field of automotive lighting. The method comprises the following steps: dividing a main lighting block of the automotive LED module into a plurality of sub-blocks; measuring optical parameters of the LEDs in each sub-block, and classifying the LEDs with similar optical parameters into the same sub-block according to a preset color tolerance standard; calculating the similarity between the sub-blocks of the main illumination block based on the optical parameters, and pairing the sub-blocks from different main illumination blocks according to the similarity; and carrying out overall color tolerance calculation on the paired main lighting blocks, and confirming a pairing scheme according to a calculation result. The problems that in the prior art, the extreme positions of the two blocks have chromatic aberration, and the spare parts have chromatic aberration after being replaced are effectively solved.

Description

Technical Field

[0001] This invention belongs to the field of automotive lighting technology, and particularly relates to a method and system for adjusting the color tolerance of automotive LEDs based on partition pairing. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] In the modern automotive industry, LED (Light Emitting Diode) lighting technology, with its significant advantages such as energy saving, long lifespan, fast response speed, and high design flexibility, has been widely used in various parts of automobiles, including headlights, taillights, daytime running lights, and interior lighting. However, due to the complexity and inherent fluctuations in the production processes of LED chip materials, phosphor coating processes, and packaging structures, even LEDs produced in the same batch cannot have completely consistent photoelectric parameters (such as color temperature, color coordinates, and luminous flux). This difference in color characteristics is defined in the industry as color tolerance.

[0004] In automotive lighting systems, excessive color tolerance can lead to serious practicality and safety issues. For example, in car headlights, if there is significant color tolerance among the multiple LEDs that make up the high or low beam module, the projected beam will appear as uneven patches or bands of color. At night or in adverse weather conditions such as rain or fog, this uneven lighting can exacerbate driver fatigue, interfere with their accurate judgment of road outlines, obstacles, and traffic signs, and thus increase driving risks. For taillights, as critical signal indicators, color differences in brake lights or turn signals can confuse or misjudge the driving intentions of following vehicles, creating traffic safety hazards. Furthermore, in automotive aftermarket repair scenarios, the lack of standardized color tolerance control mechanisms means that replacement LED parts and original lighting components often have noticeable color differences due to inconsistencies in color tolerance standards. This further deteriorates the color consistency of the lighting system after repair, resulting in a poor repair experience for users and negatively impacting the product quality reputation of the car brand.

[0005] To control color tolerance, a common approach in existing technologies is to simply divide the entire LED module into two large blocks for control. However, this coarse partitioning method has significant limitations: at the junction of the two blocks or at the limits of the optical design, due to the cumulative effect of individual LED differences, color transitions are often unnatural, resulting in visible light and dark areas or color difference boundaries. Although some improved solutions attempt to compensate for color differences by finely adjusting the drive current of each LED or each block, this method has limited effectiveness and significant drawbacks: firstly, the adjustment range of the circuit is limited by the operating characteristics of the LED, making it difficult to fundamentally eliminate color differences caused by the dispersion of the LED's optical parameters; secondly, to achieve precise current control, complex drive circuits and feedback components are required, which not only significantly increases the hardware cost and power consumption of the system but also reduces the overall reliability and stability of the system due to the increased number of components. Summary of the Invention

[0006] To overcome the shortcomings of the prior art, the present invention provides a method and system for adjusting the color tolerance of automotive LEDs based on partition pairing. Through innovative partitioning, light splitting and color separation, color zone pairing and color tolerance calculation strategies, the color tolerance is effectively reduced, solving the problems of color difference at the extreme positions of two blocks and color difference after replacement of spare parts in the prior art.

[0007] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions: The first aspect of this invention provides a method for adjusting the color tolerance of automotive LEDs based on partition pairing; A method for adjusting the color tolerance of automotive LEDs based on partition pairing includes: The main lighting area of ​​the automotive LED module is divided into multiple sub-blocks; The optical parameters of the LEDs in each sub-block are measured, and LEDs with similar optical parameters are grouped into the same sub-block according to a preset color tolerance standard. Based on the optical parameters, the similarity between the sub-blocks of the main illumination block is calculated, and the sub-blocks from different main illumination blocks are paired according to the similarity. Perform overall color tolerance calculations on the paired main lighting blocks, and confirm the pairing scheme based on the calculation results.

[0008] As a further technical solution, the main lighting block of the automotive LED module is divided into multiple sub-blocks, including: The main lighting area of ​​the automotive LED module is divided into equal parts. Each small block is numbered, and the location information, the number of LEDs contained in the small block, and the corresponding circuit connection relationship are recorded.

[0009] As a further technical solution, the optical parameters include color temperature, color coordinates, luminous flux, and color rendering index.

[0010] As a further technical solution, the similarity between the sub-blocks of the main lighting block is calculated, and sub-blocks from different main lighting blocks are paired according to the similarity, including: The optical parameters are converted into multi-dimensional vectors, and the distance or similarity between different small block vectors is calculated using the Euclidean distance formula or cosine similarity. Two small blocks with the smallest distance or the highest similarity are identified as a pair.

[0011] As a further technical solution, an overall color tolerance calculation is performed on the paired main lighting blocks, wherein the formula for calculating the color tolerance is:

[0012] in, , and These represent the differences in luminance L, chromaticity a, and chromaticity b for the main lighting block.

[0013] A second aspect of the present invention provides a color tolerance adjustment system for automotive LEDs based on partition pairing.

[0014] A color tolerance adjustment system for automotive LEDs based on partition pairing, comprising: The block division module is configured to divide the main lighting block of the automotive LED module into multiple sub-blocks; The optical measurement module is configured to measure the optical parameters of the LEDs in each sub-block and classify LEDs with similar optical parameters into the same sub-block according to a preset color tolerance standard. The data processing and pairing module is configured to: calculate the similarity between the sub-blocks of the main illumination block based on the optical parameters, and pair the sub-blocks from different main illumination blocks according to the similarity. The color tolerance assessment module is configured to perform overall color tolerance calculation on the paired main lighting blocks and confirm the pairing scheme based on the calculation results.

[0015] A third aspect of the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the steps of a method for adjusting the color tolerance of automotive LEDs based on partition pairing as described in the first aspect of the present invention.

[0016] A fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of a method for adjusting the color tolerance of automotive LEDs based on partition pairing as described in the first aspect of the present invention.

[0017] The above one or more technical solutions have the following beneficial effects: This invention ensures the consistency of LED optical characteristics within each sub-block from the source through refined color zone division and high-precision beam splitting. Furthermore, by employing a color zone pairing strategy based on optical parameter similarity, the resulting main illumination blocks exhibit a highly uniform color and brightness on a macroscopic scale. This fundamentally solves the color difference problem at edges and extreme positions inherent in traditional dual-block modes, eliminates color patches and transition lines in the illumination beam, provides drivers with a uniform and comfortable visual lighting environment, and greatly improves driving safety.

[0018] This invention achieves front-end control of color tolerance through innovative light source selection and combination strategies, rather than relying on dynamic compensation from back-end circuitry. It simplifies the system architecture by eliminating the need for complex adjustable drive circuits and additional feedback control components. This reduces the number of electronic components, lowers system manufacturing costs and overall power consumption, and significantly enhances system reliability and long-term stability due to the simplified circuitry.

[0019] This invention introduces a color tolerance calculation step within a uniform color space, transforming color difference evaluation from a subjective visual judgment into an objective, quantifiable indicator. It enables real-time and accurate monitoring of color zone matching effects, ensuring that every product leaving the factory meets preset, stringent color tolerance standards. This achieves precise control and traceability of product quality, guaranteeing a high product qualification rate.

[0020] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0021] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0022] Figure 1 This is a flowchart of the method in the first embodiment.

[0023] Figure 2 This is a system structure diagram of the second embodiment. Detailed Implementation

[0024] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0025] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations of the present invention.

[0026] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0027] The overall approach of this invention is as follows: This invention provides a method and system for adjusting the color tolerance of automotive LEDs based on partitioned pairing. Through a systematic strategy of fine partitioning, optical screening, intelligent pairing, and quantitative evaluation, it addresses the color difference problem in LED lighting at its source. Specifically, firstly, the traditional large lighting block is subdivided into multiple sub-blocks with uniform optical characteristics; then, using high-precision spectral and color-coding technology, LEDs within each sub-block are screened and classified according to strict standards; next, based on a similarity algorithm, sub-blocks from different large blocks are optimally paired to ensure consistent overall color performance; finally, the pairing effect is quantitatively evaluated through color tolerance calculation, forming a closed-loop quality control system.

[0028] Example 1 This embodiment discloses a method for adjusting the color tolerance of automotive LEDs based on partition pairing; like Figure 1 As shown, a method for adjusting the color tolerance of automotive LEDs based on partition pairing includes: Step S101: Divide the main lighting block of the automotive LED module into multiple sub-blocks; Step S102: Measure the optical parameters of the LEDs in each sub-block, and classify LEDs with similar optical parameters into the same sub-block according to a preset color tolerance standard; Step S103: Based on the optical parameters, calculate the similarity between the sub-blocks of the main illumination block, and pair the sub-blocks from different main illumination blocks according to the similarity. Step S104: Perform overall color tolerance calculation on the paired main lighting blocks, and confirm the pairing scheme based on the calculation results.

[0029] Specifically, it also includes the following: Step S101: Divide the main lighting block of the automotive LED module into multiple sub-blocks.

[0030] Each large block is meticulously divided into two or three smaller blocks. During this division, the uniformity of LED distribution and the convenience of circuit connections are considered. For example, for a rectangular automotive LED headlight module, if divided into two equal parts, it can be bisected along the axis of symmetry to ensure that the number and arrangement of LEDs in each smaller block are as similar as possible. If divided into three equal parts, an equidistant division method is used to ensure that each smaller block has similar physical and electrical characteristics. After division, each smaller block is numbered, and its location information, the number of LEDs it contains, and the corresponding circuit connections are recorded. This provides an accurate data foundation for subsequent beam splitting, color zone matching, and color tolerance calculations.

[0031] Step S102: Measure the optical parameters of the LEDs in each sub-block, and classify LEDs with similar optical parameters into the same sub-block according to a preset color tolerance standard.

[0032] Using high-precision spectrophotometers, comprehensive optical parameter measurements are performed on each LED within each small block. These parameters include color temperature, color coordinates, luminous flux, and color rendering index. Based on pre-defined strict color tolerance standards, LEDs with similar optical characteristics are grouped together. For example, the permissible error range for color temperature is set to ±20K, the permissible deviation range for color coordinates x and y is ±0.002, and the permissible fluctuation range for luminous flux is ±5%. Only when all LED parameters meet these conditions are they assigned to the same small block group. This rigorous screening and grouping ensures high consistency in color and brightness characteristics among LEDs within each small block, reducing color tolerance issues caused by individual LED differences at the source.

[0033] Step S103: Based on the optical parameters, calculate the similarity between the sub-blocks of the main illumination block, and pair the sub-blocks from different main illumination blocks according to the similarity.

[0034] After completing the spectral and color separation of all small blocks within two large blocks, small blocks from different large blocks are paired. A pairing model based on optical parameter similarity is established, and the optimal pairing combination is determined by calculating the differences in optical parameters between different small blocks. Specifically, parameters such as color temperature, color coordinates, and luminous flux are transformed into multi-dimensional vectors, and mathematical methods such as the Euclidean distance formula or cosine similarity algorithm are used to calculate the distance or similarity between vectors of different small blocks. The Euclidean distance formula is the classic formula for calculating the straight-line distance between two points. For cosine similarity, the cosine similarity (cosine_similarity(A,B)) of two n-dimensional vectors is defined as the ratio of their dot product to the product of their respective magnitudes, as shown below:

[0035] Where A and B are n-dimensional vectors.

[0036] The two smallest blocks with the smallest distance or the highest similarity are selected as pairs. For example, block A1 is paired with block B1, and block A2 is paired with block B2 (assuming that the A series are small blocks within a larger block, and the B series are small blocks within another larger block). This precise pairing method ensures that the two combined blocks achieve a high degree of consistency in overall color and brightness, effectively reducing the color difference between the two blocks.

[0037] Step S104: Perform overall color tolerance calculation on the paired main lighting blocks, and confirm the pairing scheme based on the calculation results.

[0038] After color region pairing is completed, color tolerance calculation needs to be performed on the two paired large blocks to evaluate the effect of color difference reduction. Color tolerance calculation is based on the CIE 1976 (Lab*) uniform color space and is performed through the following steps: (1) Measure the average color parameters of the two large blocks after pairing, including luminance L*, chromaticity a and b.

[0039] (2) Calculate the color difference value ΔEab between the two large blocks. The calculation formula is as follows:

[0040] in, , and These represent the differences in luminance L, chromaticity a, and chromaticity b for the main lighting block.

[0041] (3) Based on the calculated color difference value ΔEab, determine whether it meets the preset color tolerance standard. If ΔEab is less than the preset standard, the color difference is considered to be within the acceptable range; if ΔEab is greater than the preset standard, the spectral separation and color zone matching process needs to be re-examined, problems identified, and adjustments made. Through color tolerance calculation, the effect of color zone matching can be monitored and optimized in real time to ensure that the color tolerance of the final product meets the requirements.

[0042] Example 2 This embodiment discloses a color tolerance adjustment system for automotive LEDs based on partition pairing; like Figure 2 As shown, a vehicle LED color tolerance adjustment system based on partition pairing includes: The block division module is configured to divide the main lighting block of the automotive LED module into multiple sub-blocks; The optical measurement module is configured to measure the optical parameters of the LEDs in each sub-block and classify LEDs with similar optical parameters into the same sub-block according to a preset color tolerance standard. The data processing and pairing module is configured to: calculate the similarity between the sub-blocks of the main illumination block based on the optical parameters, and pair the sub-blocks from different main illumination blocks according to the similarity. The color tolerance assessment module is configured to perform overall color tolerance calculation on the paired main lighting blocks and confirm the pairing scheme based on the calculation results.

[0043] The block partitioning module meticulously divides each large block into smaller blocks of two or three equal parts. During partitioning, the uniformity of LED distribution and the convenience of circuit connections are comprehensively considered. For example, for a rectangular automotive LED headlight module, if divided into two equal parts, it can be bisected along the axis of symmetry to ensure that the number and arrangement of LEDs in each smaller block are as similar as possible; if divided into three equal parts, an equidistant partitioning method is used to ensure that each smaller block has similar physical and electrical characteristics. After partitioning, each smaller block is numbered, and its location information, the number of LEDs it contains, and the corresponding circuit connections are recorded, providing an accurate data foundation for subsequent beam splitting, color zone matching, and color tolerance calculations.

[0044] In the optical measurement module, high-precision spectrophotometers are used to comprehensively measure the optical parameters of each LED within each small block. These parameters include color temperature, color coordinates, luminous flux, and color rendering index. Based on pre-defined strict color tolerance standards, LEDs with similar optical characteristics are grouped together. For example, the permissible error range for color temperature is set to ±20K, the permissible deviation range for color coordinates x and y is ±0.002, and the permissible fluctuation range for luminous flux is ±5%. Only when all LED parameters meet these conditions are they assigned to the same small block group. This rigorous screening and grouping ensures that the LEDs within each small block are highly consistent in color and brightness characteristics, reducing color tolerance issues caused by individual LED differences at the source.

[0045] After completing the spectral and color separation of all small blocks within two large blocks, the data processing and pairing module is used to pair small blocks from different large blocks. A pairing model based on optical parameter similarity is established to determine the optimal pairing combination by calculating the differences in optical parameters between different small blocks. Specifically, parameters such as color temperature, color coordinates, and luminous flux are transformed into multi-dimensional vectors, and mathematical methods such as the Euclidean distance formula or cosine similarity algorithm are used to calculate the distance or similarity between the vectors of different small blocks. The two small blocks with the smallest distance or the highest similarity are determined as the pairing combination. For example, small block A1 is paired with small block B1, and small block A2 is paired with small block B2 (assuming that the A series is a small block within one large block, and the B series is a small block within another large block). Through this precise pairing method, the combined two large blocks achieve a high degree of consistency in overall color and brightness performance, effectively reducing the color difference between the two large blocks.

[0046] After color region pairing is completed, the color tolerance evaluation module is used to calculate the color tolerance of the two paired large blocks to evaluate the effect of color difference reduction. The color tolerance calculation is based on the CIE 1976 (Lab*) uniform color space and is performed through the following steps: (1) Measure the average color parameters of the two large blocks after pairing, including luminance L*, chromaticity a and b.

[0047] (2) Calculate the color difference value ΔEab between the two large blocks. The calculation formula is as follows:

[0048] in, , and These represent the differences in luminance L, chromaticity a, and chromaticity b for the main lighting block.

[0049] (3) Based on the calculated color difference value ΔEab, determine whether it meets the preset color tolerance standard. If ΔEab is less than the preset standard, the color difference is considered to be within the acceptable range; if ΔEab is greater than the preset standard, the spectral separation and color zone matching process needs to be re-examined, problems identified, and adjustments made. Through color tolerance calculation, the effect of color zone matching can be monitored and optimized in real time to ensure that the color tolerance of the final product meets the requirements.

[0050] Example 3 The purpose of this embodiment is to provide a computer-readable storage medium.

[0051] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for adjusting the color tolerance of automotive LEDs based on partition pairing as described in Example 1.

[0052] Example 4 The purpose of this embodiment is to provide an electronic device.

[0053] An electronic device includes a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the method for adjusting the color tolerance of automotive LEDs based on partition pairing as described in Embodiment 1.

[0054] The steps and methods involved in the apparatuses of Embodiments 2, 3, and 4 above correspond to those in Embodiment 1. For specific implementation details, please refer to the relevant description section of Embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood as including any medium capable of storing, encoding, or carrying an instruction set for execution by a processor and enabling the processor to perform any of the methods in this invention.

[0055] Those skilled in the art will understand that the modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, thereby allowing them to be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any particular combination of hardware and software.

[0056] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A LED color tolerance adjustment method for vehicle based on partition pairing, characterized in that, The method comprises the following steps: dividing a main lighting block of a vehicle LED module into multiple sub-blocks; measuring optical parameters of LEDs in each of the sub-blocks, and classifying LEDs with similar optical parameters into the same sub-block according to a preset color tolerance standard; calculating similarity between the sub-blocks of the main lighting block based on the optical parameters, and pairing sub-blocks from different main lighting blocks according to the similarity; performing overall color tolerance calculation on the paired main lighting blocks, and confirming a pairing scheme according to a calculation result.

2. The LED color tolerance adjustment method for vehicle based on partition pairing according to claim 1, characterized in that, The method of dividing a main lighting block of a vehicle LED module into multiple sub-blocks comprises the following steps: dividing the main lighting block of the vehicle LED module into equal parts, numbering each of the divided sub-blocks, and recording position information, a number of contained LEDs, and a corresponding circuit connection relationship of the sub-blocks.

3. The LED color tolerance adjustment method for vehicle based on partition pairing according to claim 1, characterized in that, The optical parameters comprise color temperature, color coordinates, luminous flux, and color rendering index.

4. The LED color tolerance adjustment method for vehicle based on partition pairing according to claim 1, characterized in that, The method of calculating similarity between the sub-blocks of the main lighting block and pairing sub-blocks from different main lighting blocks according to the similarity comprises the following steps: converting the optical parameters into multi-dimensional vectors, and calculating distances or similarity between vectors of different sub-blocks by using a Euclidean distance formula or a cosine similarity; determining two sub-blocks with the smallest distance or the highest similarity as a pairing combination.

5. The LED color tolerance adjustment method for vehicle based on partition pairing according to claim 1, characterized in that, The method of performing overall color tolerance calculation on the paired main lighting blocks comprises the following steps: wherein, , and are the difference in luminance L, chrominance a and b, respectively, of the primary illumination tiles.

6. A LED color tolerance adjustment system for vehicle based on partition pairing, characterized in that, The method comprises the following steps: a block division module configured to divide a main lighting block of a vehicle LED module into multiple sub-blocks; an optical measurement module configured to measure optical parameters of LEDs in each of the sub-blocks, and classify LEDs with similar optical parameters into the same sub-block according to a preset color tolerance standard; a data processing and pairing module configured to calculate similarity between the sub-blocks of the main lighting block based on the optical parameters, and pair sub-blocks from different main lighting blocks according to the similarity; a color tolerance evaluation module configured to perform overall color tolerance calculation on the paired main lighting blocks, and confirm a pairing scheme according to a calculation result.

7. The LED color tolerance adjustment system for vehicle based on partition pairing according to claim 6, characterized in that, The method of dividing a main lighting block of a vehicle LED module into multiple sub-blocks comprises the following steps: dividing the main lighting block of the vehicle LED module into equal parts, numbering each of the divided sub-blocks, and recording position information, a number of contained LEDs, and a corresponding circuit connection relationship of the sub-blocks.

8. The LED color tolerance adjustment system for vehicle based on partition pairing according to claim 6, characterized in that, The optical parameters comprise color temperature, color coordinates, luminous flux, and color rendering index.

9. A computer-readable storage medium having stored thereon a program, characterized in that, The program is executed by the processor to implement the steps in the method of claim 1-7.

10. An electronic device comprising a memory, a processor, and a program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the steps in the method of claim 1-7.

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