LiDAR Thermal Management via Dynamic Laser Power Adjustment
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Solution Overview
Problem
LiDAR systems face limitations in performance and complexity due to the need for large thermal reserves or complex cooling to maintain constant laser output, which restricts their detection range and efficiency, especially in vehicles where thermal management is challenging.
Innovation Solution
A method that involves detecting temperature variations in the light source, estimating the loading temperature, setting an operating limit based on thermal budget, and adjusting laser power distribution across the field of view to optimize range and prevent thermal overload, allowing for maximum power usage within safe thermal limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the laser is operated with a largely constant output independent of the vehicle environment, then the detection range is maintained, but the thermal reserve required is very large or complex cooling is needed
Solution Approach 1:
The patent implements dynamic adjustment of laser output power based on real-time temperature measurements and predicted thermal budgets. Instead of maintaining constant output, the system continuously adapts the laser power level to current thermal conditions, allowing operation at maximum power when cooling is effective and reducing power when thermal capacity is limited, thereby eliminating the need for oversized thermal reserves or complex cooling systems.
Solution Approach 2:
The system changes the operating parameters of the laser based on thermal budget predictions. By calculating the available thermal budget from temperature measurements and thermal models, the system adjusts the laser output power parameter dynamically, optimizing detection range while staying within safe thermal limits without requiring fixed conservative settings.
2Power
If a very large thermal reserve is used to achieve maximum possible output, then the laser can operate at maximum power, but the system performance is limited or technical complexity increases
Solution Approach 1:
The system performs preliminary calculation of the thermal budget before operating the laser at maximum power. By measuring current temperature and using thermal models to predict the available thermal capacity, the system determines in advance how much power can be safely delivered, allowing maximum power operation when appropriate without requiring oversized thermal reserves designed for worst-case scenarios.
3Productivity
If the laser output is adjusted based on thermal budget, then power can be optimized within thermal limits, but temperature monitoring and thermal modeling are required
Solution Approach 1:
The system implements a feedback control mechanism where temperature sensors continuously monitor thermal conditions, the thermal budget is recalculated based on current measurements, and laser power is adjusted accordingly. This closed-loop control optimizes detection efficiency by maintaining laser operation at the maximum safe power level while automatically adapting to changing thermal conditions without requiring complex manual intervention.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables improved thermal management, optimizing laser power distribution to enhance detection range while preventing thermal overload, thereby improving LiDAR system performance and extending its operational lifespan.
Implementation Method 1
detecting at least one temperature measurement (e.g., in the system and in particular of at least one light source of the system)
Implementation Method 2
lasers can be used for this purpose, the emitted laser beams of which are deflected by mirrors or other deflectors
Implementation Method 3
estimating the loading temperature on the basis of the temperature measurement using an evaluation function, such as a model or the like
Data Source
AI summary
A method and system for operating a LiDAR system for an environment detection in a field of view (FOV) of the system, wherein the following steps are performed: detection of at least one temperature measurement, which differs from a loading temperature in at least one light source of the system, estimation of the loading temperature based on the temperature measurement using an evaluation function, specification of an operating limit, which is specific for the maximum thermal load capacity of the light source, provision of a preset for at least one region of interest (ROI) in the field of view (FOV), adjustment of an operation of the system, and based on the preset for the region of interest (ROI) and the estimated loading temperature and the operating limit.